Summary
Mayukh Das is a Senior Researcher (L2) at Microsoft with a PhD in Computer Science and over a decade of experience advancing AI and machine learning for human-in-the-loop systems, AI-Ops, and sequential decision making. His work focuses on model efficiency optimization and collaborative planning under uncertainty, blending theoretical approximation techniques with practical, production-oriented ML. He has held research roles at Samsung and top US universities, published in leading venues, and served on program committees for NeurIPS, ICML, ICLR, and AAAI, highlighting his standing in the research community. At Microsoft he transitioned rapidly through researcher ranks to senior researcher, driving applied research that bridges lab innovation and product needs. He also contributes to the community as a demo chair and guest editor, and was recognized with a Technology Excellence (Innovator) award at Samsung. Based in Bengaluru, he pairs deep academic training with hands-on systems experience across AI-Ops and model efficiency challenges.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Dallas
High School, Science, High School, Science at W.W.A. Cossipore English School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Indiana University Bloomington
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Techno Main - Salt Lake
English, Bengali, Hindi