Chinmaya Kausik is a PhD student and researcher in mathematics and machine learning at the University of Michigan, specializing in sequential decision making with strong theoretical guarantees and practical impact. With eight years of experience across academia and industry, he has worked on offline RL, bandits, causal inference, model predictive control, and GNNs, and has shipped research-backed code used in production settings. Internships at Microsoft, Netflix, and Jane Street resulted in tangible gains—reducing bidding latency and errors, improving LLM retrieval and QA performance, and doubling proof-of-concept R^2 in finance applications. He co-founded an online math camp that raised $20k and has a strong mathematical foundation from IISc that underpins his work in provable algorithms. Chinmaya combines deep theory (top-tier math training and theorem-proving experience) with hands-on systems development, aiming to build safe, reliable AI agents that improve human decision making.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Mathematics, 9.6/10, Bachelor of Science - BS, Mathematics, 9.6/10 at Indian Institute of Science (IISc)
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Michigan
Contributions:38 pushes, 1 branch in 1 year 9 months
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