Success Stories: Success Story: EB-2 NIW Approval for a Machine Learning Engineer from China

Case Summary:     

NAILG is pleased to announce the EB-2 NIW (National Interest Waiver) approval of a machine learning engineer from China. The petition, filed on June 30, 2025, was approved on August 13, 2025, under premium processing. At the time of filing, the client was working as a machine learning engineer, focusing on algorithms that advance recommendation systems and data-driven models. Prior to working with NAILG, the client had filed 2 NIW petitions with another 2 immigration attorneys. None of those were approved.

Research Focus and Contributions:
The client’s work centers on developing innovative machine learning algorithms that integrate data science, control theory, and recommendation systems. These contributions are crucial in improving personalization, algorithmic fairness, and efficiency in digital advertising and e-commerce platforms. His research also extends into energy systems, where he has applied advanced algorithms to control time-series variability and optimize renewable energy storage performance.

Over the course of his career, the client has:

• Authored 11 peer-reviewed publications (including journal articles and conference papers), along with preprints and a technical book.
• Been credited with multiple patents, including advances in embedding systems for large-scale recommendation engines.
• Garnered 75 citations from researchers worldwide.
• Completed at least 19 peer reviews for leading journals and conferences in computer science and engineering.
• Held a Senior Membership of IEEE

Funding and Recognition:
His research has been supported by the National Science Foundation (NSF), demonstrating its national importance and its alignment with U.S. priorities such as renewable energy innovation and economic growth.

Endorsements from Experts:
Independent recommenders strongly endorsed his qualifications. For instance, one expert emphasized:

“[Client’s] work significantly enhances the efficiency, personalization, and scalability of recommendation systems in e-commerce advertising and search recommendation, directly contributing to improved user engagement, increased sales revenue, and optimized advertising budgets.”

Such testimonials confirmed that his methods not only advanced theoretical knowledge but also achieved measurable economic impact when applied in practice.

Why the Case Succeeded:
NAILG successfully demonstrated the client’s expertise in machine learning and data algorithms:

• Possesses substantial merit by advancing technologies that underpin the digital economy.
• Holds national importance given its applications in e-commerce, advertising, and energy systems.
• Shows the client is well-positioned to continue driving innovation through publications, patents, industry collaborations, and ongoing research.

NIW Approval and Outlook:
The rapid approval under premium processing highlights USCIS’s recognition of the client’s exceptional qualifications. With this approval secured, the client is set to continue advancing scalable, intelligent, and efficient machine learning systems that will benefit both U.S. businesses and the broader economy.

At NAILG, we are proud to have guided this accomplished professional to success and look forward to witnessing his continued contributions to the fields of machine learning and data algorithms.