I am a Research Engineer at Vicarious AI. Here, we are developing artificial intelligence for robots, drawing inspiration from the information processing systems in the human brain. By combining insights from neuroscience and probabilistic modeling, we seek to design algorithms that can match humans' ability to learn and generalize, unlike any AI system seen to date.
Previously, I was a Visiting Research Associate with the Learning and Intelligent Systems Group at MIT CSAIL advised by Leslie Pack Kaelbling and Tomas Lozano Perez. Here I worked on a variety of projects involving Task and Motion Planning, Bayesian Optimization, and RL.
Before this, I worked full-time as a Prediction engineer at Uber Advanced Technologies Group on autonomous vehicles. I built models for predicting vehicle interactions to better guide safe motion planning. I worked with Jeff Schneider and Ian Dewancker.
From 2014-2017 I was at the School of Computer Science at Carnegie Mellon University where I studied CS and Math and graduated in 3.5 years. My internships were are Google, where I worked with Scott Jenson on Physical Web, and zSpace Virtual Reality, where I worked on Stylus Gesture Recognition.
My research at CMU involved both Robotics and Applied Machine Learning. I worked on Bidirectional A* search based planning (Maxim Likhachev), Activity Recognition for Sensors, and ML for Mobile Privacy (Yuvraj Agarwal)
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