Success Story: We Helped a Software Engineer from Bangladesh Win NIW Approval Through Tailored Support
Client’s Testimonial:
“I am really pleased with the service I get from you. I appreciate your hard work and prompt reply to all of my questions.”
On April 10th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Software Engineer in the Field of Machine Learning (Approval Notice).
General Field: Machine Learning
Position at the Time of Case Filing: Software Engineer
Country of Origin: Bangladesh
State of Residence at the Time of Filing: California
Approval Notice Date: April 10th, 2025
Processing Time: 18 months (Premium Processing Requested)
Case Summary:
At North America Immigration Law Group, we are excited to share the NIW approval of a client and an MS holder whose work in machine learning is pushing forward innovation in national security and healthcare technologies. The petition was approved after 18 months, following a strategic Premium Processing upgrade.
Our client is a software engineer with a proposed endeavor focused on developing advanced machine learning algorithms to improve cybersecurity, wireless sensor networks, and healthcare technologies. His research supports U.S. interests in countering cybercrime, enhancing real-time data systems, and expanding AI applications in healthcare – a critical area for technological leadership and cost-effective care delivery. He is currently employed in the U.S. and plans to continue contributing to cutting-edge machine learning tools and open-source initiatives.
To support the petition, we emphasized:
Publications and Citations: The client has authored 3 peer-reviewed journal articles, 6 conference articles, and 2 preprints, with 16 total citations.
Peer Review Contributions: He has completed at least 1 peer review for a recognized IEEE conference, underscoring his standing in the field.
Significance and Impact: His published work on Android malware detection, chatbot-driven health management, and anomaly detection in wireless sensor networks has been cited internationally by researchers in cybersecurity, digital health, and pharmacy technologies.
The petition also included 4 strong letters of recommendation from field experts, validating the national relevance and originality of his contributions. One recommender noted:
“[Client’s] considerable achievements in artificial intelligence research cement his position as a researcher at the pinnacle of the machine learning field. It is a great loss not only for the American healthcare industry but also for other domains, such as networking and security, if his work is halted.”
We are proud to have supported this talented machine learning expert and look forward to his continued impact on U.S. innovation in AI-driven cybersecurity and digital health systems.

