Summary
Raghav Gupta is a research scientist with a decade of experience at the intersection of AI and biology, now advancing ML-driven biology work at Biohub after a stint at EvolutionaryScale. He previously led and shipped research at Google DeepMind and Google on LLM alignment, reinforcement learning, task-oriented dialog, and efficient on-device BERT models, with publications across AAAI, EMNLP, ACL and widely used open datasets like Schema-Guided Dialogue and MultiWoZ. He has a track record of moving research into product—deploying CLP in Google Search to cut development cycles by 30% and shipping sub-5MB distilled BERTs used in Voice Access and Recorder. Comfortable spanning representation learning, synthetic data generation, and conversational tool-use, Raghav combines theoretical rigor from Stanford and IIT Bombay with practical system-building at scale. A less obvious strength is his cross-disciplinary background dating to work on biological auction theory and POMDP algorithms, which informs his applied research in biology-facing ML.
10 years of coding experience
8 years of employment as a software developer
Master's in Machine Learning Machine Learning, Master's in Machine Learning Machine Learning at Mila - Quebec Artificial Intelligence Institute
High School Physics Chemistry Maths Computer Science, High School Physics Chemistry Maths Computer Science at The Army Public School, Dhaula Kuan, New Delhi
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at SRM IST Chennai
English, Hindi, French