Summary
Avinash Thangali is a Senior AI Research Scientist based in San Jose with 11 years of experience designing and deploying scalable ML systems that align technical models to business outcomes. He has driven productionized demand forecasting, product representation learning with LLMs, and fulfillment prediction at Walmart Global Tech and now applies that expertise to AI initiatives at PayPal. His background spans quantitative econometrics at Bank of America, ML for deep-space communications at JPL, and medical image retrieval research at Stanford Medicine, reflecting a rare mix of high-stakes, domain-diverse problem solving. A Cornell-trained mathematician-computer scientist, Avinash blends rigorous modeling with pragmatic engineering to move research into robust, operational pipelines. He’s particularly adept at turning complex time-series and representation learning research into scalable, revenue-impacting systems.
11 years of coding experience
9 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Cornell University
Lynbrook High School