Hello! I am a second year PhD student in the Berkeley AI Research (BAIR) Lab at UC Berkeley advised by Prof. Sergey Levine. My research interests lie in the field of Machine Learning and Reinforcement Learning. My research goal is to develop agents that can learn via interaction, reliably in the real world. More concretely, this involves understanding the interaction between deep neural nets, optimization and interactive reinforcement learning algorithms and using these insights to develop better algorithms. Further, I am interested in developing ways to effectively and efficiently use prior, off-policy datasets, including sub-optimal demonstrations while training an RL agent.

I previously interned at the Google Brain Team, Toronto during Summer 2017 and Summer 2018 where I was fortunate to work with Geoffrey Hinton, Kevin Swersky and Jimmy Ba on a variety of topics including Hierarchical RL, relational learning and generative modelling.

I graduated from Department of Computer Science and Engineering, IIT Bombay, India with a Bachelor of Technology in August 2018. I was advised by Prof. Sunita Sarawagi. I worked on calibration of neural networks and sequence prediction models as a part of my Bachelor’s thesis.