Summary
Rudrajit Das is a research scientist at Google with eight years of experience specializing in provably better optimization algorithms and techniques that improve generalization in machine learning. He brings strong academic pedigree as a CS PhD student at UT Austin and a dual B.Tech+M.Tech in Electrical Engineering from IIT Bombay, with internships at Google DeepMind, ETH Zurich, and Amazon informing a pragmatic, research-driven approach. At Google he progressed from research intern in federated learning to student researcher roles and now a research scientist, signaling impact on large-scale, privacy-aware learning systems. Known for bridging theoretical rigor with applied systems work, he often focuses on provable guarantees rather than heuristic fixes—a perspective shaped by cross-continental research collaborations and industry deployments.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Austin
Indian Institute of Technology Bombay
10th Grade, 10th Grade at Lokhandwala Foundation School, Kandivali(East), Mumbai
High School, High School at Pace Junior Science College, Andheri, Mumbai
Hindi, Bengali, English