Machine learning, Reinforcement learning, Robotics, Optimization, Optimal Control, Control Theory.
About
Applied Scientist at Amazon, with a decade of experience in robotics & AI. My PhD and Postdoctoral work focused on leveraging optimization, machine learning, and control theory techniques for coordinating actions between team of autonomous agents (applicable to domains such as smart grids, robotics systems, manufacturing processes). In the last 3 years, I have deployed Reinforcement Learning algorithms to production at Amazon scale, led cross-organizational efforts on improving the efficiency of automation systems, and taken on leadership positions on student mentorship as well as STEAM outreach.
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