Success Stories: Strengthening Public Health Systems with AI - NIW Approval Secured for Machine Learning Engineer
Client’s Testimonial:
“Thank you so much for all your help and attention to detail throughout the process! I think a fairly big reason for my approval is due to your diligence, so thanks!”
On September 9th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Machine Learning Engineer in the Field of Machine Learning (Approval Notice).
General Field: Machine Learning
Position at the Time of Case Filing: Machine Learning Engineer
State of Residence at the Time of Filing: California
Approval Notice Date: September 9th, 2025
Processing Time: 1 month, 29 days (Premium Processing Requested)
Case Summary:
Innovation in Machine Learning for Healthcare
An EB-2 NIW (National Interest Waiver) petition prepared by NAILG was recently approved for a machine learning expert from India whose work is transforming healthcare and language technologies. With an M.S. in machine learning, she is advancing the development of deployable AI models that strengthen public health systems and improve the performance of speech-based voice assistants. Her innovations provide linguistically advanced frameworks that can be implemented in critical healthcare settings, enhancing therapeutic practices and improving nationwide health outcomes.
Recognition in the Scientific Community
Her research contributions are well recognized in the academic community. She has authored four peer-reviewed conference articles, including two first- or co-first-authored pieces, as well as a first-authored conference abstract and one preprint. Together, these works have been cited 24 times, reflecting the influence of her scholarship. She has also completed at least seven peer reviews, further demonstrating her active engagement in advancing the discipline.
Impact on Public Health and Technology
By pioneering linguistically advanced AI models for healthcare applications, her work ensures greater accuracy and reliability for speech-enabled systems. These models optimize healthcare processes, support more effective treatments, and expand the role of AI in public health. Beyond immediate medical applications, her research contributes to the broader advancement of U.S. technological development, reinforcing the nation’s leadership in machine learning innovation.
NIW Approval and Outlook
This NIW approval reflects USCIS’s acknowledgment of the significance and national relevance of her research. With NAILG’s support, the petition was successfully approved, paving the way for her to further advance healthcare technology and public health systems in the United States.

