Aravind Rajeswaran
Research Scientist at Microsoft
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolAravind Rajeswaran is a research scientist with 11 years of experience designing AI agents and world models, currently at Microsoft after a multi-year research stint at Meta and postdoctoral work at UC Berkeley. He holds a PhD in computer science from the University of Washington and is known for creator contributions such as DAPG, Decision Transformers, OpenEQA, and R3M that bridge reinforcement learning and embodied AI. His background includes influential internships at DeepMind and OpenAI, reflecting a strong blend of academic rigor and industry-scale research. Based in Seattle, he balances theoretical advances with practical implementations and maintains an active public presence through papers and code on GitHub and his personal website. An underappreciated strength is his track record of moving ideas from prototype to widely used research artifacts, accelerating reproducibility in the field.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of WashingtonIndian Institute of Technology Madras
Github Skills (49)
crossword10
simulation10
imitation-learning10
robotics10
python10
gymnasium10
agent-based-modeling10
tasks10
reinforcement-learning10
trajectory-optimization10
stable-baselines10
deep-reinforcement-learning10
multiagent-systems10
robocup10
pybullet10
Programming languages (3)
Github contributions (5)
aravindr93/hand_dapg
Jun 2018 - Nov 2019
Repository to accompany RSS 2018 paper on dexterous hand manipulation
Contributions:14 commits, 4 PRs, 4 pushes in 1 year 5 months
manipulationrssroboticspybulletsimulation
aravindr93/trajopt
Oct 2018 - Nov 2022
Trajectory optimization algorithms for robotic control.
Contributions:26 commits, 4 PRs, 17 pushes in 4 years 1 month
roboticsoptimization-algorithmsoptimizationtrajectorytrajectory-optimization
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