Summary
Subhabrata Mukherjee is a technology and AI executive with nine years of experience building production-grade large language models and ML systems, currently co-founding and serving as Chief Scientific Officer at Hippocratic AI to create a safety-first LLM tuned for healthcare. Previously a Principal Researcher at Microsoft Research, he led Effcient AI at Scale initiatives that influenced Turing, Prometheus (New Bing), and Microsoft 365, and was recognized as an MIT Technology Review Innovator under 35 semi-finalist for work on efficient AI. His background blends applied industry impact—from Amazon’s product knowledge graph to IBM and Google research—with deep academic rigor, earning a summa cum laude PhD and SIGKDD dissertation runner-up honors for work on probabilistic graphical models and credibility analysis. He is fluent at bridging research and product: designing interpretable, deployed models guided by domain experts, and at Hippocratic AI has operationalized RLHF with clinicians across 114 certified roles. Based in San Francisco with ties to Lawrence Berkeley National Laboratory, he brings a rare combination of ML systems engineering, safety-first thinking, and healthcare domain grounding.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Summa cum laude (highest honors), SIGKDD 2018 Ph.D. Dissertation Runner-up Award, Doctor of Philosophy (Ph.D.), Computer Science, Summa cum laude (highest honors), SIGKDD 2018 Ph.D. Dissertation Runner-up Award at Max Planck Institute for Informatics
Indian Institute of Technology Bombay
B.E, Computer Science, CGPA 8.73, Maximum 10.0, B.E, Computer Science, CGPA 8.73, Maximum 10.0 at Jadavpur University