Success Story: Advancing Resource-Efficient Artificial Intelligence: NIW Approval Secured for an Indian Researcher Without RFE
Client’s Testimonial:
"I am very glad to see that it was accepted without any RFE. Thanks for working on my NIW petition."
On July 27th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Principal Applied Scientist in the field of Artificial Intelligence (Approval Notice).
General Field: Artificial Intelligence
Position at the Time of Case Filing: Principal Applied Scientist
Country of Origin: India
State of Residence at the Time of Filing: California
Approval Notice Date: July 27th, 2026
Processing Time: 1 month, 24 days (Premium Processing Requested)
Case Summary:
Artificial intelligence (AI) systems increasingly require the ability to process long-context text, high-resolution images, and long-form video while controlling computational and energy costs. North America Immigration Law Group (NAILG) represented an Indian AI researcher whose work focuses on developing resource-efficient AI frameworks for multimodal reasoning, long-context processing, and scalable model inference. At the time of filing, the client was employed as a principal applied scientist at a U.S. technology company, where the client continued advancing AI systems designed to process large-scale data more efficiently and support complex reasoning across text, images, and video.
The client held a Ph.D. in language processing, speech technology, and information retrieval. The petition documented 1 peer-reviewed journal article, 39 peer-reviewed conference articles, 1 first-authored abstract, 2 preprints, 2 technical reports, 11 granted patents, 2,320 citations, and at least 70 completed peer reviews. The case relied on objective evidence of impact, including publications, citations, patents, peer-review service, open-source contributions, and independent scholarly reliance.
To demonstrate the client’s significance, we showed that multiple papers ranked among the most-cited Computer Science articles for their publication years, including papers in the top 0.1%, top 1%, top 10%, and top 20% citation ranges. We also explained that the citation record was not presented as a standalone number, but as evidence that other researchers had meaningfully relied on the client’s methods and findings.
The petition further highlighted how independent researchers had used the client’s work to advance a range of artificial intelligence and machine learning applications. His patent record and open-source contributions also helped show that the client’s work had practical value beyond academic publication and beyond a single employer.
USCIS approved the client’s I-140 NIW petition without an RFE, supporting the client’s continued work in resource-efficient AI, long-context reasoning, and technologies that may strengthen U.S. leadership in artificial intelligence.

