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Case study · EB-2 NIW · Approved

EB-2 NIW petition letter for an AI and data-science engineer, filed under premium processing

A petition letter labelled successful in the source file. A useful model for structure, with a plan, a national-importance argument and concrete project results.

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EB-2 NIWApproved
Source
Petition letter (de-identified)
Timeline
Filed May 2024, premium processing, Texas Service Center
Key lesson

State the endeavor as a plan with phases, not as a job title.

Profile

Senior technical architect in generative AI and data science with more than a decade of experience at large technology and automotive companies, a master's degree in computer science, IEEE publications, judging at a state science fair, IEEE Senior Member, and mentoring.

What was claimed

  • Advanced degree (master's in computer science)
  • Prong 1: an endeavor to advance American leadership in generative AI by improving analysis of unstructured data, tied to national security, economic growth, healthcare and infrastructure
  • Prong 2: leadership of AI projects (an award-winning bond-risk solution and an AI audit tool), publications, judging, mentoring, IEEE Senior Membership
  • Prong 3: skills-gap and national-priority arguments, and why a labor certification is impractical

What happened

The letter described a staged plan: build a foundation of algorithms, run pilot projects in key industries, expand deployment, advocate for standards and train the next generation through academic partnerships.

Prong 2 leaned on quantified outcomes. One project replaced the work of about 12 full-time auditors and cut audit time per part. Letters from a university professor, a company vice president and a researcher at a major technology company described specific projects.

Prong 1 relied heavily on government sources about AI in defense, healthcare and infrastructure, and each section pointed to numbered exhibits.

Lessons for evaluating your own case

Every notice is a list of what to fix. Use these as a checklist for your own evidence.

  • State the endeavor as a plan with phases, not as a job title.
  • Quantify outcomes for prong 2. Savings, time reductions and awards persuade more than adjectives.
  • Tie every claim to an exhibit number so the officer can verify it quickly.
  • Be careful with field-level arguments. A later NIW RFE in this library (see the cybersecurity visualization case) objected to relying on reports about the importance of a field instead of the specific endeavor.
Limits of this case. We have the petition letter, not the approval notice. The approved outcome is as labelled in the source file.
Anonymized. Personal details, employers, receipt numbers, officer codes and law firms are removed. This is general information, not legal advice.

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