Success Story: An Associate Applied AI/ML Sr from India Secures NIW Approval with Our Help and Premium Processing Upgrade
Client’s Testimonial:
“Although the process took some time, I truly appreciate the thoroughness and professionalism of Chen Immigration Associates. They carefully highlighted the national impact of my work and guided me at every step. I’m very satisfied with the overall outcome and grateful for their support in securing my NIW approval.”
On June 18th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for an Associate Applied AI/ML Sr in the Field of Machine Learning (Approval Notice).
General Field: Machine Learning
Position at the Time of Case Filing: Associate Applied AI/ML Sr
Country of Origin: India
State of Residence at the Time of Filing: Maryland
Approval Notice Date: June 18th, 2025
Processing Time: 1 month, 28 days (Premium Processing Upgrade Requested)
Case Summary:
With a Ph.D. in financial services analytics and a professional background rooted in artificial intelligence, this client has built a reputation as a rising expert in machine learning, particularly in designing frameworks to improve fairness and transparency in AI systems. Her research addresses some of the most urgent national challenges today, including bias mitigation in large language models (LLMs) and the ethical application of generative AI in critical sectors like finance and healthcare.
The client is currently employed as an Associate Applied AI/ML Senior in the financial services industry, where she continues to develop cutting-edge AI models focused on responsible, accurate, and equitable outcomes. Her innovative projects include enhancing gender equity in AI-driven hiring tools and improving the transparency of credit scoring algorithms using explainable AI methods. Her research has proven essential to supporting fair decision-making processes in high-stakes domains.
In support of her I-140 National Interest Waiver petition, we presented strong evidence of her academic productivity and impact in the field. She has authored 7 conference articles (three as first author), 1 peer-reviewed journal article, 2 book chapters, 1 preprint, and 1 patent application. Her work has garnered 76 citations to date, and she has completed at least 13 peer reviews for respected journals. These metrics serve as a testament to the influence and recognition of her work within the scholarly community.
To demonstrate her qualifications and significance in the field, we included 3 expert letters from established researchers who attested to her contributions and professional standing. One letter stated:
“[Client] is an accomplished researcher in machine learning, with expertise in financial analytics, computer vision, and large language models. Her work includes analyzing machine learning models for credit scoring using explainable AI and optimizing investment decisions, addressing critical challenges in U.S. credit assessment and gender equity.”
This petition also emphasized that the client’s work addresses clear national priorities: ensuring AI fairness, improving access to equitable healthcare, and strengthening trust in financial systems powered by AI. Through these efforts, she supports the United States’ technological leadership and ethical standards in AI applications.
With our assistance and a strategic focus on her research’s national relevance, the client’s NIW petition was approved in under two months following an upgrade to premium processing, another remarkable success for our team at NAILG.