Success Story: NIW Approval for a Software Engineer Applying AI to Critical U.S. Systems
Client’s Testimonial:
“I’m grateful to Chen Immigration Law Associates for their help with my EB-2 NIW petition. They were very thorough in reviewing my research, identifying evidence of its impact, and presenting a clear connection between my past work and proposed endeavor. My work spans several applications of AI, and I appreciated the care they took in bringing those pieces together. Receiving the approval was an important milestone for me, and I’m thankful for their guidance throughout the process.”
On July 20th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Software Engineer in the Field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: Software Engineer
Country of Origin: India
State of Residence at the Time of Filing: Washington
Approval Notice Date: July 20th, 2026
Processing Time: 2 months, 8 days (Premium Processing Requested)
Case Summary:
A strong record of independent research influence provided the foundation for this EB-2 National Interest Waiver (NIW) case. North America Immigration Law Group (Chen Immigration Law Associates) represented a software engineer whose work applied artificial intelligence (AI) and data-driven methods to complex problems involving transportation, healthcare, finance, and digital infrastructure.
An Established Record Before the Proposed Endeavor
Long before the filing, the client's research had already attracted substantial attention from other computer scientists. The record showed 3 peer-reviewed journal articles and 2 peer-reviewed conference articles, together accumulating 1,134 citations. One paper ranked among the top 1% most cited Computer Science papers for its publication year, while two others ranked among the top 20%.
Importantly, this influence was not limited to citation totals. Researchers across 64 countries had cited the client's work, and specific studies had built upon the client's methods in financial forecasting, sustainable urban development, and medical image analysis. These examples helped us establish a pattern of independent reliance across different applications of machine learning. Specifically, the client's work on stock market prediction provided tools for improving market risk evaluation, while research integrating uncertainty learning into medical image registration contributed methods relevant to more reliable clinical decision-making.
A Broader AI Endeavor With Practical Applications
Against this background, we presented the client's proposed endeavor as a natural continuation of the client's demonstrated expertise. The client proposed to develop advanced artificial intelligence and data-driven decision models to improve the reliability and efficiency of critical real-world systems, including healthcare and energy networks. The petition highlighted the client's prior success in large-scale transportation optimization as a clear illustration of this value, demonstrating how the client's scalable AI frameworks directly translated into tangible benefits for public safety, environmental sustainability, and economic efficiency.
From Research Influence to NIW Approval
For this case, the strength of the NIW argument came from connecting these elements rather than treating them as isolated accomplishments. With this cohesive evidentiary record, USCIS approved the petition on July 20th, 2026. We congratulate the client on this successful outcome and look forward to the continued development of AI-driven methods for complex and critical systems.