Sample report

Kai’s AI spots crop disease on 3,200 farms. This is Kai’s plan to stay and keep building it.

Kai Mensah, machine learning engineer on STEM OPT.Kai is a sample profile. The report is the real, unedited output of our system.

Strategy on a pageScores are from our rubric. They are not approval odds.

File EB-2 NIW first, in May 2027.

EB-1A is not ready to file yet. Keep building it while the first petition moves. Register for the H-1B lottery in March 2027 as the safety net.

1Where you stand

EB-2 NIW clears our file-ready line by 1 point. EB-1A is 17 points short of it.

EB-2 NIW66/100File-ready

EB-1A48/100Building

65 is the file-ready line on our rubric

NIW: the three Dhanasar prongs

Prong 2 is the one holding the NIW case back.

P1National importanceStrong

P2Well positionedModerate

P3Waiving the job offerStrong

2The decision

One petition first, one still building, and one safety net.

Which route, and when?

EB-2 NIW

66/100 against a line of 65

File first

Target May 2027

EB-1A

48/100 against a line of 65

Build, do not file yet

Revisit as the evidence deepens

Status bridge

An approved I-140 does not extend status

Lottery registration, March 2027

3The path to filing

About 6 months from today to filing, starting with the 30-day sprint.

Today
November 2026
Sprint complete
30-day plan
3-month milestones
From your roadmap
H-1B registration
March 2027
File EB-2 NIW
May 2027

4EB-1A criteria, as you rated them

5 of 10 EB-1A criteria self-rated Moderate or better, 2 of them Strong. The rule asks for 3, then a final merits review.

Awards

None

Membership

Weak

Press

Weak

Judging

Moderate

Contributions

Moderate

Scholarly articles

Strong

Exhibitions

None

Leading role

Strong

High salary

Moderate

Commercial success

None

5What moves the case

Three moves to make first, in order.

1
Prong 1: national importanceHigh materiality
Work with an immigration attorney to draft a Prong 1 brief that ties your USDA-funded pilot, your 3,200-farm deployment across 6 U.S. states, and…
2
Prong 2: well positionedHigh materiality
Identify and approach three to five experts in agricultural AI, precision agriculture, or food-security policy who can write detailed support letters…
3
Status bridgeHigh materiality
Ask AgriVision Labs to register you in the H-1B lottery in March 2027 as a backup that runs alongside your EB-2 NIW plan.

6What could stop it

The objections USCIS is most likely to raise.

Prong 1: national importanceHigh likelihood
Prong 2: well positionedHigh likelihood
Prong 3: waiving the job offerMedium likelihood

Each one is answered in advance in RFE Risk Pre-Emption.

Behind this page7resume lines mapped 5expert letters planned 6evidence actions 4objections pre-empted

01Executive Summary

As a Senior ML Engineer at AgriVision Labs, you are doing work that sits at the intersection of applied machine learning and U.S. food security, two areas USCIS has recognized as nationally important in past NIW approvals. Your 78% model compression achievement, the 3,200-farm deployment across six states, and the USDA-funded early blight pilot give you concrete, quantifiable impact that most early-career petitioners cannot point to. Your four peer-reviewed papers with 160-plus citations and your reviewing work for two ML workshops add scholarly credibility. The honest gap is that your career is one to three years in, the USDA pilot has not yet scaled, and your media and awards footprint is thin, which is why the NIW score sits at 66 rather than comfortably above 70. Your main concern is whether to file EB-2 NIW or EB-1A first, and the answer is EB-2 NIW first, filed in May 2027. Your NIW score of 66 clears our file-ready threshold and your Dhanasar prongs rate Strong, Strong, and Moderate, meaning the petition is buildable now with focused preparation. Your EB-1A score of 48 is below our threshold, not because you cannot satisfy three criteria numerically (you self-rated five at Moderate or better), but because the evidence behind those criteria and the final merits review are not yet strong enough. Filing EB-1A now would be premature. On H-1B, do not skip the March 2027 lottery: ask AgriVision Labs to register you as a backup that runs in parallel with your NIW plan, so you have a status bridge if the I-140 is still pending when your OPT ends.

Your #1 next step

In the next seven days, schedule a consultation with a licensed immigration attorney who handles EB-2 NIW petitions for STEM researchers. This single step unblocks everything: the attorney will review your AgriVision Labs employment situation, advise whether to approach the company about H-1B registration for March 2027, identify which of your existing evidence (the USDA pilot documentation, publication record, and deployment data) is ready to use and what is missing, and give you a realistic preparation timeline to hit the May 2027 filing target.

02Petition Readiness Dashboard

EB-2 NIW 66/100 · EB-1A 48/100 · file-ready line 65

EB-2 NIW66/100

Your NIW score of 66 out of 100 clears our 65 file-ready threshold by one point, which means the petition is ready to build but not yet comfortable. Prong 2, whether you are well positioned to advance your proposed endeavor, is the prong holding the score closest to the line, because your track record at AgriVision Labs is strong but still early-career and the USDA pilot is still in a pilot phase.

EB-1A48/100

Your EB-1A score of 48 out of 100 is below our file-ready threshold, and while you self-rated five criteria at Moderate or better (meeting the numerical minimum of three under 8 CFR 204.5(h)(3)), the evidence behind those criteria and the final merits review are not yet strong enough to carry the petition, so EB-1A becomes a realistic parallel option once your publication impact, media footprint, and judging record are meaningfully deeper.

Scores come from the F-1 Careers rubric applied to your answers (65 is our file-ready threshold). They are not USCIS approval statistics or odds.

Filing recommendation

You should target May 2027 to file your EB-2 NIW I-140. Before that date, you need to complete a strong proposed endeavor statement, gather at least three independent expert recommendation letters that speak to the national importance of your work, and document the USDA pilot's scope and reach with supporting evidence.

Target month May 2027 was computed on November 11, 2026 from the filing timeline chosen in the questionnaire.

Status and timing

Your STEM OPT end date was not provided in your answers, so confirm the exact expiration date printed on your EAD card or I-94 immediately, because every bridge option depends on that date. An approved I-140 does not extend your F-1 status or work authorization, so you need a separate bridge: ask AgriVision Labs to register you in the March 2027 H-1B lottery as a backup running alongside your NIW plan, and separately explore whether the company would sponsor an O-1A petition, which also requires an employer or agent. Premium processing for the EB-2 NIW I-140 costs $2,965 on top of the $1,015 self-petitioner filing fees, and USCIS commits to an adjudicative action (an approval, denial, request for evidence, or notice of intent to deny) within 45 business days, which is a faster answer, not a guaranteed approval.

03Resume Evidence Map

7 lines mapped · 4 Strong, 3 Developing

Each line of your record, the legal criterion it supports, and how it is argued in the petition.

“Lead a 4-person team building on-device crop disease detection used by 3,200 farmers across 6 U.S. states.”

Strong

NIW Prong 2, Well Positioned

Also supports: Critical or Leading Role (viii)

The Petitioner leads a four-person engineering team whose deployed system reaches 3,200 farmers across six U.S. states, demonstrating that the Petitioner is not merely researching a concept but actively operating infrastructure at meaningful scale. This operational leadership establishes that the Petitioner is well positioned to advance the proposed endeavor of expanding early crop disease detection to national extension programs. The breadth of current deployment across multiple states further supports the Petitioner's capacity to coordinate the scaling effort described in the proposed endeavor.

“Cut model size 78% while keeping 94% accuracy, enabling offline use in rural areas with no signal.”

Strong

NIW Prong 1, Substantial Merit and National Importance

Also supports: Original Contributions of Major Significance (v)

The Petitioner achieved a 78% reduction in model size while preserving 94% accuracy, a technical result that directly enables deployment on low-cost smartphones in rural areas without internet connectivity. This contribution addresses a structural barrier that has historically excluded smallholder and rural farmers from AI-assisted crop monitoring, a population that is central to U.S. food security. The Petitioner's approach represents an original contribution of major significance because it extends the practical reach of precision agriculture tools beyond what prior, connectivity-dependent systems permitted.

“Designed the data pipeline behind a USDA-funded pilot on early blight detection in potato farms.”

Strong

NIW Prong 3, Balance of Factors Favors a Waiver

Also supports: Critical or Leading Role (viii)

The Petitioner designed the data pipeline underlying a pilot program funded by the U.S. Department of Agriculture, a federal agency whose mandate includes protecting U.S. crop yields and agricultural infrastructure. Federal funding of this pilot signals that a U.S. government body has independently determined the Petitioner's work to be of sufficient national priority to merit public investment. This government endorsement supports the argument that waiving the labor certification requirement is in the national interest, because the Petitioner's continued, uninterrupted contribution to this federally supported program serves the United States directly.

“4 peer-reviewed papers on efficient computer vision for agriculture (2 first-author); 160+ citations.”

Strong

NIW Prong 2, Well Positioned

Also supports: Scholarly Articles (vi)

The Petitioner has authored four peer-reviewed publications in the specialized intersection of efficient computer vision and agricultural applications, two of which carry first-author credit, and those works have accumulated more than 160 citations. Citation by other researchers demonstrates that the Petitioner's contributions are recognized as foundational or useful by the broader scientific community working in this domain. This publication record establishes that the Petitioner possesses the technical expertise and scholarly standing required to advance the proposed endeavor at the frontier of the field.

“Reviewer, two machine learning workshops (2024, 2025); judged 30+ submissions.”

Developing

NIW Prong 2, Well Positioned

Also supports: Judging the Work of Others (iv)

The Petitioner has served as a peer reviewer for two machine learning workshops, evaluating more than 30 submissions and thereby participating in the quality-control process that governs scientific publication in the field. Invitation to review is extended to researchers whose expertise is recognized by program committees, and the Petitioner's selection across two consecutive years reflects sustained recognition of the Petitioner's standing in the community. While the venues are workshops rather than flagship conferences or journals, this record contributes to the overall picture of the Petitioner as a recognized expert who is well positioned to advance work in efficient agricultural AI.

“Invited talk on low-resource AI for food security at a regional agtech conference (2025).”

Developing

NIW Prong 1, Substantial Merit and National Importance

The Petitioner was invited to present on low-resource AI for food security at a regional agricultural technology conference, indicating that practitioners and organizers in the agtech sector view the Petitioner's work as relevant to active industry challenges. An invitation to speak, as opposed to a submitted presentation, reflects external recognition that the Petitioner's perspective merits a platform. This evidence supports the argument that the Petitioner's proposed endeavor addresses a matter of substantial merit, because agricultural stakeholders outside academia are actively seeking the kind of solutions the Petitioner develops.

“Built speech recognition baselines for Twi and Ga, released as open source (1,400+ GitHub stars).”

Developing

NIW Prong 2, Well Positioned

Also supports: Original Contributions of Major Significance (v)

During an earlier research role, the Petitioner developed and publicly released speech recognition baselines for two under-resourced languages, and those repositories have received more than 1,400 GitHub stars from the developer and research community. This record demonstrates that the Petitioner has a pattern of building tools intended for broad, open access rather than proprietary deployment, a practice consistent with the proposed endeavor's commitment to open-sourcing core crop disease detection models. The community adoption reflected in the star count also provides evidence that the Petitioner's technical outputs are evaluated positively by independent practitioners.

04NIW Dhanasar Analysis, Prong by Prong

Prong 1: Strong · Prong 2: Moderate · Prong 3: Strong

An EB-2 NIW petition turns on three prongs. Here is your case for each, with draft language for the brief.

Substantial Merit & National Importance

Strong

What you have

Your work sits at the intersection of artificial intelligence and U.S. food security, a federally recognized priority. Your models are deployed across 3,200 farms in 6 U.S. states, and your USDA-funded pilot on early blight detection in potato farms directly connects your research to national agricultural infrastructure. Your 4 peer-reviewed publications with 160+ citations establish that the field treats your contributions as substantively important, and your invited talk on low-resource AI for food security at a regional agtech conference in 2025 shows that practitioners recognize the broader stakes of this work.

Critical gap

Your petition must make the national-importance argument explicit and structural, not just implied by the USDA connection. USCIS officers reading a denied petition are the population captured in this data point: Prong 1 (substantial merit and national importance) was found not met in 2,310 of the 2,440 AAO NIW decisions where any prong failed (95%). To avoid that outcome, you need supporting evidence that goes beyond your own publications, such as government reports, USDA strategic plans, or Congressional findings that name early crop disease detection as a national priority, so the officer does not have to infer the importance.

Draft petition language

The Petitioner conducts research and engineering at the intersection of on-device machine learning and U.S. agricultural food security. The Petitioner's work at AgriVision Labs has produced crop disease detection models now operating across 3,200 farms in 6 U.S. states, and the Petitioner designed the data pipeline supporting a USDA-funded pilot on early blight detection in potato farms, a crop whose losses cost U.S. producers hundreds of millions of dollars annually. The Petitioner's 4 peer-reviewed publications on efficient computer vision for agriculture have accumulated more than 160 citations, demonstrating that the scientific community recognizes the field as substantively important. Early, low-cost disease detection directly reduces crop losses and pesticide use, advancing national goals in food security, rural economic stability, and sustainable agriculture. The proposed endeavor therefore carries both substantial scientific merit and national importance within the meaning of Matter of Dhanasar.

Well-Positioned to Advance the Endeavor

Moderate

What you have

You have a directly relevant graduate degree from Carnegie Mellon University in Machine Learning and hands-on production experience leading a 4-person team at AgriVision Labs. Your technical achievement of cutting model size 78% while maintaining 94% accuracy is a concrete, measurable result that shows you can solve the hard engineering problems the endeavor requires. Your 2 first-author publications and your role designing the USDA pilot pipeline demonstrate that you are already advancing the work, not merely proposing it.

Critical gap

With 1 to 3 years of post-degree experience, your record of independent impact is still building. The petition needs letters from external experts, such as USDA researchers, agricultural extension directors, or senior academics in precision agriculture, who can speak to why your specific technical approach is distinctive and why you, rather than a more senior researcher, are well positioned to lead this work at scale. Without those voices, an officer may view the endeavor as achievable by others and may question whether you are the right person to advance it.

Draft petition language

The Petitioner holds a Master of Science in Computer Science with a specialization in Machine Learning from Carnegie Mellon University and has applied that training directly to the proposed endeavor as a Senior ML Engineer at AgriVision Labs. The Petitioner leads a 4-person engineering team and achieved a 78% reduction in model size while preserving 94% detection accuracy, a result that enables offline deployment on low-cost smartphones in rural areas without reliable connectivity. The Petitioner designed the data pipeline underlying a USDA-funded pilot on early blight detection in potato farms, demonstrating the ability to translate research into federally supported, real-world agricultural programs. The Petitioner's 4 peer-reviewed publications, including 2 as first author, and more than 160 citations show that the Petitioner's technical contributions are recognized by the broader machine learning research community. This combination of advanced education, production engineering leadership, federal program involvement, and peer-recognized scholarship positions the Petitioner to advance the proposed endeavor at a national scale.

National Benefit Justifies Waiving Job Offer Requirement

Strong

What you have

Your proposed endeavor has an inherently national scope: you plan to scale the USDA pilot from 6 states to national extension programs and to open-source the core models, which means the benefit is not tied to a single employer or locality. The USDA funding connection shows that a federal agency has already judged the work worth supporting, which is strong evidence that the United States has an independent interest in seeing it continue. Your commitment to open-sourcing the models further strengthens the argument that the benefit flows broadly to U.S. agriculture rather than only to AgriVision Labs.

Critical gap

You need to articulate why requiring a traditional labor certification process would be contrary to the national interest, not merely inconvenient. The petition should explain that the endeavor's value, scaling a federally funded pilot to national extension programs and releasing open-source tools, depends on continuity of your specific technical leadership and cannot be replicated simply by hiring a different worker through the standard process. Concrete evidence of the scale of benefit, such as data on crop loss rates, the reach of extension programs, or statements from USDA partners, will make this argument more durable.

Draft petition language

The Petitioner proposes to scale on-device crop disease detection from a 6-state USDA-funded pilot to national agricultural extension programs, releasing the core models as open-source software so that the benefit accrues broadly to U.S. farmers, extension services, and the agricultural research community. The national scope of the proposed endeavor means that its benefits are not confined to any single employer or region, satisfying the requirement that the waiver serve the broader national interest. The Petitioner's work at AgriVision Labs has already demonstrated measurable impact, with models deployed across 3,200 farms, and the USDA's decision to fund the early blight pilot reflects an independent federal judgment that this line of research merits national support. Requiring the Petitioner to obtain a job offer and labor certification would interrupt the continuity of a federally supported program and delay the national scaling the endeavor requires, making the waiver appropriate on balance. The United States therefore stands to benefit substantially from waiving the job offer and labor certification requirements so that the Petitioner may continue and expand this work without interruption.

05Draft Proposed Endeavor Statement

Petition-ready language built from your record. Use it as your starting draft.

“The Petitioner proposes to develop and deploy low-cost, offline artificial intelligence tools that enable U.S. farmers to detect crop disease from smartphone photographs, beginning with potato and tomato blight and expanding to corn and soybean pathogens. The Petitioner will scale the current USDA-funded early blight detection pilot, designed and built at AgriVision Labs, from 6 U.S. states to national agricultural extension programs, making the technology accessible to rural farming communities that lack reliable internet connectivity. The Petitioner will open-source the core detection models so that university researchers, extension agents, and agricultural nonprofits can adapt and build on the work without cost barriers. Early disease detection enabled by the Petitioner's models reduces crop losses and lowers pesticide use, advancing U.S. food security, rural economic stability, and sustainable agricultural practices. This endeavor aligns with federal priorities in agricultural technology and food system resilience, as evidenced by existing USDA support for the Petitioner's pilot program.”

Review and refine this with your attorney before it goes into a petition.

06Expert Letter Strategy

5 letters

Who to ask, what each letter must establish, and how to approach them.

A senior researcher or program officer at a USDA agency or land-grant university extension program who has direct knowledge of the USDA-funded early blight detection pilot you designed at AgriVision Labs

Must establish

This letter must establish that your work on the USDA pilot addresses a documented national agricultural priority, that early crop disease detection has substantial merit and national importance for U.S. food security, and that your specific technical contributions are not easily replicated. It supports Dhanasar Prong 1 and Prong 3.

How to approach

Email the contact at the USDA-affiliated program with a brief summary of your role in designing the data pipeline and the pilot outcomes. Attach the relevant sections of your resume, the pilot documentation, and a one-page summary of the national food security stakes. Ask them to write on official letterhead and to speak to the program's federal funding, its geographic reach across six U.S. states, and the difficulty of replacing your technical contributions.

A full professor or associate professor at a research university whose own published work cites your papers on efficient computer vision for agriculture, and who can speak to the field-level impact of your contributions

Must establish

This letter must confirm that your two first-author papers introduced methods that others in the field have adopted or built upon, explain why your compression approach (cutting model size 78% while retaining 94% accuracy) is technically significant, and position your citation record of 160 or more citations as meaningful for someone at your career stage. It supports the Original Contributions criterion and Dhanasar Prong 2.

How to approach

Identify researchers whose published papers cite your work directly, using Google Scholar or Semantic Scholar. Write a short, professional email explaining that you are preparing an immigration petition and asking whether they would be willing to write an independent expert letter. Attach your two first-author papers and a one-page biography. Offer to provide a draft outline of the points you hope they will address, and make clear the letter should reflect their own independent assessment.

A chief technology officer, director of engineering, or VP of product at an agtech company or agricultural cooperative that has deployed or evaluated on-device AI tools, who can speak to the commercial and operational significance of offline crop disease detection

Must establish

This letter must explain the practical gap that offline, low-cost AI tools fill for farmers in rural areas with limited connectivity, describe why your approach at AgriVision Labs is technically differentiated, and confirm that your work has direct economic value for U.S. agricultural operations. It supports the Critical or Leading Role criterion and Dhanasar Prong 3.

How to approach

Reach out through professional networks or conference contacts in the agtech space. Provide the writer with your resume, a one-page technical summary of the on-device model and its deployment across 3,200 farms in six U.S. states, and a brief explanation of the immigration context. Ask them to write on company letterhead and to address the scarcity of engineers who can build models that run offline at this accuracy level.

A senior faculty member or department chair at Carnegie Mellon University who supervised or closely observed your graduate research and can speak to your academic trajectory and the national relevance of your thesis work

Must establish

This letter must describe the technical rigor of your graduate work, confirm that your research direction addresses a nationally important problem, and explain why your combination of machine learning expertise and agricultural application is uncommon. It supports Dhanasar Prong 2 by establishing that you are well positioned to advance the proposed endeavor.

How to approach

Contact your thesis advisor or a faculty member who knows your research well. Explain the petition timeline and ask whether they can write a letter by February 2027. Provide your full resume, copies of your papers, and a one-page description of your proposed endeavor. Ask them to address your specific technical skills, your publication record relative to peers at your career stage, and the national importance of food security AI.

An organizer or program chair of the regional agtech conference where you gave your invited talk on low-resource AI for food security in 2025, or a co-panelist who can attest to the significance of the invitation

Must establish

This letter must confirm that your invitation to speak was competitive or selective, describe the audience and the relevance of your talk to U.S. agricultural policy and food security, and explain why your perspective as a builder of deployed systems was sought. It supports the Critical or Leading Role criterion and strengthens Prong 1 by showing external recognition of the national importance of your work.

How to approach

Email the conference organizer or program chair and explain that you are preparing an immigration petition. Ask them to write a brief letter on organizational letterhead confirming the nature of the invitation, the selection process, the audience size and composition, and the policy relevance of the topic. Offer to draft a short outline of the points you hope they will address.

07Evidence Playbook

6 actions · 3 High, 3 Medium priority

Each evidence gap, the specific action that closes it, and when to have it done.

High priorityby February 2027

You have no formal awards or prizes recognized by the immigration record, which is the weakest area in your EB-1A profile and also leaves a gap in demonstrating external recognition of your contributions for the NIW Prong 1 analysis.

Action

Search for best paper awards, outstanding contribution prizes, and applied research awards offered by machine learning and agricultural technology conferences and societies in your subfield. Look for awards that recognize work on efficient AI, edge deployment, or AI for food security. Verify eligibility rules and submission deadlines on each organization's official site. Submit nominations or applications for any you qualify for before May 2027 so that any recognition can be included in your petition.

High priorityby February 2027

Your media coverage is currently limited to a single university news story, which provides weak support for the Media Coverage criterion in EB-1A and adds little to the Prong 1 record showing that your work is recognized as nationally important.

Action

Pitch your story to trade publications that cover agricultural technology, rural innovation, or food security policy. Look for outlets that write about USDA-funded programs, precision agriculture, or AI in farming. Prepare a one-paragraph pitch explaining the USDA pilot, the 3,200-farmer deployment, and the food security stakes. Also contact the communications offices at the extension services or universities involved in the pilot, as they often publish features on partner researchers. Aim to have at least one substantive article published before May 2027.

High priorityby May 2027

Your peer review record covers two machine learning workshops, which is a solid start but carries moderate weight for the Judging criterion because workshop review is generally considered less selective than journal or top-tier conference review.

Action

Contact the editorial boards of peer-reviewed journals in your subfield, specifically journals focused on computer vision, precision agriculture, or AI applications in food systems, and volunteer as a reviewer through their official reviewer recruitment systems. Also watch for reviewer invitation calls from major machine learning and agricultural AI conferences. Document every review assignment with confirmation emails. Aim to add at least two journal review assignments before May 2027.

Medium priorityby February 2027

Your Association Membership criterion is rated Weak, meaning you currently lack membership in a recognized professional association at a grade that requires achievement, which limits the breadth of your EB-1A evidence package.

Action

Research professional societies in computer science, artificial intelligence, and agricultural engineering that offer membership grades based on demonstrated professional achievement or publication record rather than simple dues payment. Review the eligibility requirements for elevated membership grades on each society's official site. Apply for the highest grade for which you qualify. Do not apply to any organization not listed in your ELIGIBLE_TARGETS without first verifying that the grade is achievement-based and recognized in immigration petitions.

Medium priorityby February 2027

Your High Salary criterion is rated Moderate, and while your $148,000 salary at AgriVision Labs is above average, the record would be stronger with explicit documentation comparing your compensation to the prevailing wage for your role and location.

Action

Obtain a current offer letter or compensation statement from AgriVision Labs confirming your annual salary of $148,000. Pull the most recent Bureau of Labor Statistics Occupational Employment and Wage Statistics data for machine learning engineers or software developers in Pittsburgh or Pennsylvania and document the comparison. Also check the Department of Labor wage database for the prevailing wage level for your job title and location. Compile these into a single exhibit with a cover memo explaining the comparison.

Medium priorityby May 2027

Your proposed endeavor description is strong in concept but needs a concrete, documented roadmap to satisfy Dhanasar Prong 2, which requires showing you are well positioned to advance the work, not just that the work is important.

Action

Draft a two-page proposed endeavor statement that ties your specific qualifications, your published methods, your USDA pilot leadership, and your team at AgriVision Labs to each milestone in your plan to scale from six states to national extension programs and to open-source the core models. Include any letters of interest, memoranda of understanding, or written commitments from extension services or agricultural partners. If no formal commitments exist yet, begin outreach to at least two U.S. extension programs and request letters of support before May 2027.

08RFE Risk Pre-Emption

4 objections · 2 High, 2 Medium likelihood

The objections USCIS is most likely to raise, and how the petition answers each one before it is asked.

USCIS may say

High likelihood

USCIS may find that Prong 1 is not met because the proposed endeavor, while beneficial, does not rise to the level of 'national importance' as distinct from local or regional benefit. USCIS often requires evidence that the work has implications beyond a single employer or geographic area, citing Matter of Dhanasar, 26 I&N Dec. 884 (AAO 2016).

Your answer, in advance

Open the Prong 1 section with explicit evidence of national scope: the six-state deployment, the USDA federal funding, and USDA's own published priorities around food security and crop loss reduction. Include a letter from the USDA program officer or extension service partner describing the national significance of early blight detection. Cite USDA Economic Research Service data on crop loss costs to U.S. agriculture to frame the scale of the problem, and connect the Petitioner's work directly to those figures. Emphasize that the proposed endeavor targets national extension programs, not a single employer's product.

USCIS may say

High likelihood

USCIS may object under Prong 2 that the Petitioner's experience is limited (fewer than three years post-degree) and that the work has not yet demonstrated impact beyond a pilot stage, citing the requirement that the petitioner be 'well positioned' to advance the endeavor, not merely capable of doing so. USCIS may note that 3,200 farmers, while meaningful, is a small fraction of the U.S. farming population.

Your answer, in advance

Lead with the USDA pilot as evidence of institutional validation, not just self-reported impact. Include expert letters from agricultural scientists or extension service directors who can attest to the technical difficulty of the Petitioner's model compression achievement (78% size reduction at 94% accuracy) and explain why it is non-trivial. Attach the publication record and citation count as evidence of peer recognition. Frame the current 3,200-farmer deployment as proof of concept for the scaling described in the proposed endeavor, and include a concrete roadmap showing how the USDA pilot expands to national extension networks.

USCIS may say

Medium likelihood

USCIS may challenge Prong 3 on the grounds that the labor market test exists precisely to ensure U.S. workers are not displaced, and that the Petitioner has not shown why waiving that test serves the national interest when the work could be performed by a U.S. worker or a worker with an employer-sponsored visa. USCIS may cite the requirement that the balance of factors must favor a waiver, not merely that the work is beneficial.

Your answer, in advance

Argue that the Petitioner's specific combination of expertise (on-device model compression, agricultural domain knowledge, and an existing USDA partnership) is highly specialized and that the labor certification process would impose a delay that harms the ongoing federal pilot. Document the Petitioner's unique role as the architect of the USDA data pipeline and the irreplaceability of that institutional knowledge. Include evidence that the field of efficient agricultural AI is nascent and that qualified candidates with this specific profile are scarce, without making unsupported labor market claims. Emphasize the open-source commitment as a public benefit that extends beyond any single employer.

USCIS may say

Medium likelihood

USCIS may issue an RFE on the scholarly articles criterion arguing that workshop reviewer roles and a regional conference talk do not demonstrate the level of recognition in the field required for a final merits determination under the extraordinary ability standard, and may question whether the citation count of 160+ reflects broad recognition or a narrow subfield.

Your answer, in advance

Obtain expert declaration letters from senior researchers in computer vision or precision agriculture who can contextualize 160 citations as significant for a researcher at this career stage in a specialized subfield, and who can explain the difficulty of the technical contributions. Distinguish the Petitioner's first-author papers from co-authored works and highlight the specific papers that generated the most citations. If possible, document any instances where the Petitioner's methods were adopted or built upon by other research groups or industry teams, as downstream adoption is strong evidence of significance beyond citation counts alone.

09O-1A Bridge Visa Analysis

4 criteria met · 3 to build

You are currently on F-1 STEM OPT, and you mentioned your OPT ends in 2027. You should confirm the exact end date printed on your EAD card and your I-94. Filing an I-140 and even receiving an approval does not extend your F-1 status, OPT, or work authorization. If your STEM OPT expires before your green card process is complete, you will need a separate nonimmigrant status to remain authorized to work. O-1A is one of two bridge options available to you alongside the H-1B backup described in your plan. An O-1A petition must be filed by a U.S. employer or agent, and premium processing for O-1 is 15 business days, meaning you can get a faster answer on status while your I-140 is pending. O-1A does not depend on a lottery, which aligns with your concern about H-1B uncertainty.

Criteria you already meet

Original contributions of major significance: the 78% model compression result at 94% accuracy, deployed to 3,200 farmers, with peer-reviewed documentation and 160+ citations.
Critical or leading role in a distinguished organization: leading a four-person team at AgriVision Labs on a USDA-funded pilot program.
Judging the work of others in the field: peer reviewer for two machine learning workshops, evaluating more than 30 submissions.
High salary relative to others in the field: your current salary at AgriVision Labs supports this criterion, though a formal comparison to wage survey data for your occupation and location should be documented.

Criteria to build

Awards or prizes: you currently have no prizes or nationally or internationally recognized awards in your field. Pursuing a named award from a professional society or government body in agricultural technology or machine learning would strengthen this criterion. Verify eligibility and deadlines directly with the awarding organization.
Published material in major media or professional publications about your work: the university news story is a start, but coverage in a trade publication focused on agricultural technology or a major science outlet would carry more weight. Pitch your USDA pilot results to a trade publication that covers precision agriculture or AI in food systems, and verify their editorial process independently.
Membership in associations requiring outstanding achievement: you have not documented membership in any association with judged admission criteria. Identify professional societies in your field that have a distinguished or senior membership grade requiring peer nomination or demonstrated impact, and verify their current requirements on their own site.

Recommended action

You should discuss O-1A with an immigration attorney by February 2027 at the latest, so that if your STEM OPT end date creates urgency, you have time to prepare a petition before May 2027. Your employer at AgriVision Labs would need to act as the petitioner or you would need a qualifying agent. Separately, ask AgriVision Labs to register you in the H-1B lottery during March 2027 as a backup running alongside your EB-2 NIW plan. The H-1B earliest start date would be October 1, 2027. Having both O-1A and H-1B as parallel tracks means your ability to stay in status does not depend on any single outcome. Neither track replaces the EB-2 NIW I-140, which you should target filing in May 2027.

10Green Card Strategy Assessment

EB-2 NIW: High feasibility · EB-1A: Low feasibility

The self-petition routes compared, with the reasoning for each.

EB-2 NIWHigh

Your proposed endeavor, scaling offline crop disease detection to U.S. national extension programs, maps directly onto Dhanasar Prong 1 (substantial merit and national importance) because food security and rural agricultural productivity are documented federal priorities. Your AgriVision Labs role leading a four-person team, the USDA-funded pilot, and the 3,200-farm deployment support Prong 2 (well positioned to advance it). Prong 3 is strengthened by the open-source commitment and the fact that no employer-specific job offer is required. The main work before May 2027 is building the recommendation letter record and tightening the proposed endeavor narrative.

EB-1ALow

You self-rated five criteria at Moderate or better (Judging the Work of Others, Original Contributions, Scholarly Articles, Critical or Leading Role, and High Salary), which satisfies the numerical minimum of three under 8 CFR 204.5(h)(3), but the strength of the evidence behind each criterion and the final merits determination are not yet at the extraordinary ability standard. Your citation count of 160-plus is solid for your career stage but not yet field-leading, your media coverage is limited to a single university news story, and you have no major internationally recognized award. EB-1A becomes a realistic parallel petition once your publication impact grows, you secure broader press coverage, and your judging and leadership record deepens.

11Gap Analysis

5 gaps · 3 High, 2 Medium materiality

What stands between today's record and a strong filing, ranked by how much each one matters.

1
High materiality
Your Prong 1 narrative connecting on-device crop disease detection to national food security is your strongest asset, but it must be built into a fully documented legal argument. Prong 1 (substantial merit and national importance) was found not met in 2,310 of the 2,440 AAO NIW decisions where any prong failed (95%). A thin or generic national-importance argument is the single most common reason denied petitions fail on appeal, making a rigorous, evidence-backed Prong 1 brief essential to your case.
Do this
Work with an immigration attorney to draft a Prong 1 brief that ties your USDA-funded pilot, your 3,200-farm deployment across 6 U.S. states, and published research on crop-loss economics directly to federal food security priorities. Assemble supporting evidence such as USDA program documents, extension-service letters, and policy reports by February 2027, so the brief is complete before your May 2027 filing target.
2
High materiality
Your Prong 2 positioning, showing you are well placed to advance the proposed endeavor, is currently rated Moderate. Your 160-plus citations, USDA pilot leadership, and 78-percent model-size reduction are strong building blocks, but the record needs explicit expert opinion letters that connect your specific technical achievements to the scale and credibility required to advance a national deployment.
Do this
Identify and approach three to five experts in agricultural AI, precision agriculture, or food-security policy who can write detailed support letters by February 2027. Each letter should speak to your unique technical contributions at AgriVision Labs and your capacity to expand the USDA pilot to a national extension program, not just your general qualifications.
3
High materiality
Your status bridge is unresolved. Your STEM OPT is set to end in 2027, and an approved I-140 does not extend F-1 status, OPT, or any work authorization. Without a separate status basis in place before your OPT expires, you could lose work authorization even if your EB-2 NIW petition is pending or approved.
Do this
Ask AgriVision Labs to register you in the H-1B lottery in March 2027 as a backup that runs alongside your EB-2 NIW plan. Separately, ask whether the company would support an O-1A petition filed through a U.S. employer or agent. Both options require employer involvement, so start that conversation by November 25, 2026. Confirm the exact end date of your current authorization on your EAD card or I-94.
4
Medium materiality
Your media and public-recognition footprint is currently rated Weak. A single university news story is thin evidence for the kind of broader recognition that strengthens both the Prong 2 positioning argument and, if you later pursue EB-1A, the media-coverage criterion.
Do this
Pitch your work to trade publications that cover agricultural technology, rural innovation, or food security, and to outlets that cover AI applications in the public interest. Verify each outlet's editorial focus and submission process directly. Aim to have at least one additional substantive feature published by May 2027.
5
Medium materiality
Your judging and peer-review record, currently Moderate, rests on reviewing for two ML workshops and judging 30-plus submissions. Expanding this record with additional reviewing roles, particularly for venues focused on agricultural AI or applied machine learning, would add weight to this criterion for both EB-2 NIW and a future EB-1A filing.
Do this
Contact the editorial boards of peer-reviewed journals in your subfield that recruit reviewers through their editorial systems, and accept any qualified invitations you receive. Do not name specific journals or conferences here; verify eligibility and current recruitment processes directly with each publication. Aim to add at least one new reviewing role by May 2027.

1230-Day Sprint Plan

4 weeks · 8 actions

Week by week, the actions that start the case. Begin with week one today.

Week 1

1Schedule a consultation with an immigration attorney experienced in EB-2 NIW petitions to review your profile, confirm the May 2027 filing target, and map out the evidence you need to gather.
2Confirm the exact end date of your STEM OPT authorization on your EAD card or I-94 so you know your status runway precisely.
3Draft a short memo to yourself listing every document you have: your 4 published papers, citation records, USDA pilot documentation, AgriVision Labs offer letter or employment verification, and the GitHub repository for your Ghana NLP Collective work.

Week 2

1Approach your manager or HR contact at AgriVision Labs to ask whether the company will register you in the H-1B lottery in March 2027 as a backup alongside your self-petition plan, and whether O-1A sponsorship is possible.
2Begin identifying three to five potential expert letter writers, including researchers in agricultural AI, USDA extension contacts, or food-security policy professionals who know your work directly.

Week 3

1Draft a one-page proposed endeavor statement describing your plan to scale offline crop-disease detection from the current 6-state USDA pilot to national extension programs, covering potato, tomato, corn, and soybean, and open-sourcing the core models. This will anchor your Prong 1 and Prong 2 arguments.
2Reach out to your first two expert letter writers with a brief description of what you need and a proposed timeline for their letters, targeting drafts by February 2027.

Week 4

1Deliver a complete evidence inventory to your attorney: published papers with citation counts, USDA pilot documentation, AgriVision Labs employment records showing your lead role and salary, peer-review invitations, the invited talk record from the 2025 regional agtech conference, and the university news feature. This inventory becomes the foundation of your petition file.

133 / 6 / 12-Month Roadmap

The milestones that carry the case from the sprint to filing and beyond.

By 3 months

1
Retain an immigration attorney and finalize your evidence inventory, including all 4 papers, citation records, USDA pilot documents, and employment verification from AgriVision Labs, by February 2027.
2
Collect at least three expert support letters from researchers or practitioners in agricultural AI or food-security policy, each addressing your specific technical contributions and your capacity to advance a national deployment, by February 2027.
3
Confirm with AgriVision Labs that the company will register you in the H-1B lottery in March 2027 as a backup status bridge running alongside your EB-2 NIW plan, by February 2027.

By 6 months

1
File your EB-2 NIW I-140 petition, with premium processing (Form I-907, $2,965 fee, plus I-140 filing fees of $1,015), targeting May 2027. Premium processing means USCIS will take an adjudicative action within 45 business days, which is an approval, a denial, a request for evidence, or a notice of intent to deny. It is a faster answer, not a guaranteed approval.
2
Complete the H-1B registration process with AgriVision Labs in March 2027 and, if selected, ensure the petition is filed from April 1, 2027, so an H-1B start date of October 1, 2027 is possible as a backup status bridge, by May 2027.
3
Publish or have accepted at least one additional piece of substantive media coverage of your crop-disease detection work in a trade or policy-focused outlet, by May 2027.

By 12 months

1
Receive an adjudicative action on your EB-2 NIW I-140 and, if a request for evidence is issued, respond within the deadline printed on the notice, with the goal of having an approved I-140 and a fixed priority date by November 2027.
2
Check the monthly Visa Bulletin at that time to assess whether your priority date is current for the adjustment-of-status step, and consult your attorney about next steps toward filing Form I-485, by November 2027.
3
Expand your peer-review and judging record by adding at least one new reviewing role with a journal or venue in agricultural AI or applied machine learning, and document all new citations to your published work, by November 2027.

14Attorney Briefing Paragraph

A summary of your case written for an immigration attorney. Paste it into your first email.

Here is your situation summarized for an immigration consultation. The candidate is a Senior ML Engineer at AgriVision Labs in Pittsburgh, Pennsylvania, working on on-device computer vision for crop disease detection. The candidate holds an MS in Computer Science (Machine Learning) from Carnegie Mellon University and is currently on F-1 STEM OPT. The candidate mentioned STEM OPT running through 2027; please confirm the exact end date on the EAD card or I-94, as the system does not have the precise date. The recommended primary pathway is EB-2 NIW, with a target filing month of May 2027. On our internal rubric, the candidate scores 66 out of 100 for NIW (above our 65 file-ready threshold) and 48 out of 100 for EB-1A (below threshold). The three strongest evidence pieces are: (1) a USDA-funded pilot program on early blight detection in potato farms, providing a direct federal-interest hook for Prong 1 and Prong 3; (2) 4 peer-reviewed publications with 160+ citations, including 2 first-author papers, supporting Prong 2 and the scholarly articles criterion; and (3) demonstrated production impact, specifically a 78% model size reduction at 94% accuracy deployed to 3,200 farms across 6 U.S. states, supporting the leading role and original contributions criteria. The two critical gaps are: (1) the absence of external expert letters from USDA researchers, extension directors, or senior academics who can independently attest to the candidate's distinctive qualifications and the national importance of the work; and (2) thin third-party media and association membership evidence, which limits the EB-1A score and could weaken the overall profile if the NIW petition faces a request for evidence. Regarding H-1B: the candidate should ask AgriVision Labs to register them in the March 2027 H-1B lottery as a backup running alongside the EB-2 NIW plan. The EB-2 NIW petition does not depend on the lottery result, so the candidate is not relying on it, but registration preserves an additional bridge option. Note that H-1B fees and selection rules have been changing, so AgriVision Labs should confirm current rules with its immigration counsel. O-1A through an employer or agent is a second potential bridge if needed, but also requires employer involvement. Questions to raise with counsel: (1) What supporting documents, including USDA program records, letters from extension service partners, and expert declarations, are needed to build the Prong 1 national-importance argument most effectively before May 2027? (2) Is premium processing (Form I-907, $2,965 fee, 45 business days for an adjudicative action on an EB-2 NIW I-140) advisable given the STEM OPT timeline, and what is the recommended sequencing? (3) What steps should be taken now to strengthen the EB-1A profile so that a parallel or subsequent EB-1A petition is viable, given that the candidate self-rates 5 criteria at Moderate or better? (4) If the H-1B lottery registration in March 2027 is unsuccessful, what is the contingency plan to maintain lawful status and work authorization through the I-140 adjudication period?

Contents

How this report was checked

Every date was computed by our system on November 11, 2026 and the report was scanned for any date outside that timeline.

Processing times and fees come from one fact sheet we last reviewed on 2026-11-10.

Case-law figures are quoted word for word from our Precedent Engine and describe appeals of denied petitions, not approval odds.

No program on our verified list matched your profile, so this report describes the type of recognition to pursue instead of naming programs.

The petition language refers to you as “the Petitioner” throughout.

This report is a career strategy tool and does not constitute legal advice. Consult a licensed immigration attorney before filing any petition.

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