Summary
Tanay Saha is a Principal Applied AI leader in Sponsored Search with nine years of experience building research-driven ML systems that span LLMs, knowledge graphs, recommender systems, and large-scale NLP. Based in the Bay Area, he has repeatedly turned ambiguous, data-sparse problems into production-grade solutions—designing item- and intent-understanding pipelines and complementary recommendation architectures from scratch at Walmart. His work blends classical ML, deep learning, and generative models to improve search relevance and ad quality at billion-scale catalogs, and he holds nine US patents and an h-index of 14. Prior roles include delivering Twitter-scale entity linking and knowledge graphs at Dataminr and pioneering query categorization and online embedding systems at eBay. He publishes and reviews for top NLP/ML venues and mentors PhD interns, demonstrating both scholarly impact and hands-on system delivery. An underappreciated strength is his ability to design end-to-end evaluation and annotation frameworks that turn human judgments into repeatable, revenue-driving ML improvements.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computer and Information Science (Graph Pattern Matching and Machine Learning Over Graphs), Doctor of Philosophy (PhD) Computer and Information Science (Graph Pattern Matching and Machine Learning Over Graphs) at Purdue University
Bachelor of Science (BSc) Computer Science and Engineering, Bachelor of Science (BSc) Computer Science and Engineering at Bangladesh University of Engineering and Technology
English, Bengali