About me

I was born and grew up in India, in a small town called Hanumangarh. I completed my B.Tech. in Electrical Engineering from Indian Institute of Technology, Kanpur, and an M.S. in EECS (advisor: Prof. Claire Tomlin) from UC Berkeley in 2012 and 2014, respectively. I have also spent time at University of Western Ontario as a research assistant, and with the awesome performance verification team at Broadcom.

After my masters, I worked as a Business Consultant for Applied Predictive Technologies at their San Francisco office.

Since Fall 2015, I am pursuing a PhD degree in Electrical Engineering & Computer Sciences at UC Berkeley, under the supervision of Prof. Claire Tomlin in the Hybrid Systems Laboratory. My current research interests are in exploring how machine learning tools can be used within the control theory frameworks to improve the overall controller performance, especially when the system is operating in an uncertain environment. I am also interested in Hamilton-Jacobi reachability theory, which is a framework to formally verify the safety of a system, and its applications to multi-agent autonomous systems.