Mohit S is a software engineer and applied researcher with 14 years of experience building machine learning solutions for recommendations, search, and relevance, currently contributing at Google from Minnesota. He holds an MS and PhD in Computer Science from the University of Minnesota and has bridged academic research with production systems through roles at Walmart Labs and earlier research and engineering internships. Mohit’s work emphasizes practical ML methods for recommender systems, turning research ideas into scalable, production-ready models. His background spans both foundational research and hands-on software engineering—from graduate research and industrial R&D to large-scale engineering at Google—giving him a strong end-to-end perspective on model development and deployment. Colleagues value his ability to translate complex relevance problems into measurable improvements in user-facing systems.
14 years of coding experience
10 years of employment as a software developer
University of Minnesota Twin Cities
B.E, Information Technology, B.E, Information Technology at Delhi College of Engineering
scalable matrix factorization code using SGD, ALS and CCD++.
Contributions:438 commits, 6 PRs, 372 pushes in 4 years 1 month
scalablelinear-algebrafactorizationalssgd
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