Summary
Hangjian Li is a Principal Applied Scientist based in Bellevue with a PhD in Statistics from UCLA and a decade of experience building statistically grounded ML systems in industry. He specializes in probabilistic graphical models and high-dimensional statistics, translating new algorithms and theory into production features for GenAI-driven Ads at Walmart Global Tech, including NL2SQL, query moderation, SFT/RL fine-tuning, and RAG systems. His background spans research and hands-on engineering roles at Walmart, Facebook, and Stitch Fix, giving him fluency in both core statistical modeling and applied ML productization. Notably, he blends theoretical rigor with practical system design—often focusing on scalable post-training and retrieval-augmented workflows that bridge research prototypes to deployed services.
10 years of coding experience
4 years of employment as a software developer
University of California, Los Angeles