Success Story: No RFE! NIW Approved for a Computer Science Researcher from India
Client’s Testimonial:
"Thank you for helping out throughout this process."
On May 21st, 2026, we received another EB-2 NIW (National Interest Waiver) Approval for an AI Software Engineer in the Field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: AI Software Engineer
Country of Origin: India
State of Residence at the Time of Filing: Oregon
Approval Notice Date: May 21st, 2026
Processing Time: 12 months, 8 days
Case Summary:
Every second, cyberattacks drain billions from U.S. businesses, cripple critical infrastructure, and erode public trust in the digital systems that power modern life. Combating this threat demands not just defenders, but innovators. Our team is proud to announce the approval of an EB-2 NIW petition for an AI software engineer whose cutting-edge research in machine learning-based anomaly detection, system failure prediction, and log analysis is equipping the United States with exactly the kind of intelligent, scalable defenses the moment demands.
Research Leadership and Global Recognition
With an M.S. in computer science, the client has built deep expertise across machine learning, log analysis, anomaly detection, and cybersecurity infrastructure, emerging as a recognized contributor to the urgent national effort to defend U.S. computing systems against increasingly sophisticated threats.
The client's proposed endeavor is to continue advancing the application and productization of machine learning models, focusing on time-series anomaly detection, system failure prediction, and log analysis, to enhance the security, reliability, and efficiency of computing systems across critical industries, including financial services, manufacturing, and healthcare.
The scholarly record reflects a strong combination of productivity and real-world influence. The client has authored 6 peer-reviewed conference articles (5 of them first-authored) and 1 peer-reviewed journal article, accumulating 51 citations from independent researchers across the globe.
We also emphasized the urgent national importance of the client's work. Cyberattacks on U.S. infrastructure have grown sharply in frequency, sophistication, and cost, with U.S. law enforcement agencies struggling to keep pace. The client's machine learning innovations directly address this gap by enabling faster, more accurate detection of and response to system failures and security threats across industries that power the American economy.
NIW Approval and Outlook
It is a testament to the strength of the evidence our team assembled and our commitment to achieving the best possible outcome for every client. We wish the client continued success and look forward to the meaningful contributions they will make in advancing machine learning solutions that protect the computing systems powering American industry and innovation.