Dibyendu Das is an AI researcher and engineer with 15 years of experience, holding a Ph.D. in Computer Science from Stony Brook University and currently working in Artificial Intelligence in Seattle. His research advanced reinforcement learning and multi-armed bandit approaches to enable robots to perform complex manipulation tasks from demonstrations, producing multiple top-tier publications. He has industry experience optimizing large-scale data and security tooling at Meta and AWS—delivering query-clustering and vulnerability-analysis speedups of 40–50% in tests—and helped scale cloud automation products earlier in his career. Recent work spans both theoretical protocol verification (Inria) and practical graph neural network applications for particle-trajectory reconstruction, demonstrating a rare blend of rigorous theory and applied ML. Known for turning research prototypes into performant systems, he combines strong academic credentials with hands-on engineering across cloud, robotics, and security domains.
15 years of coding experience
8 years of employment as a software developer
High School, High School at Ramakrishna Mission Boys' Home, Rahara
Bachelor of Engineering — B.E. Computer Science and Engineering, Bachelor of Engineering — B.E. Computer Science and Engineering at Jadavpur University
Master of Technology — M.Tech. Computer Science and Engineering, Master of Technology — M.Tech. Computer Science and Engineering at Indian Institute of Technology, Kharagpur
Doctor of Philosophy — Ph.D. Computer Science, Doctor of Philosophy — Ph.D. Computer Science at Stony Brook University
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