About Me

I am a Ph.D. student with Prof. Doina Precup in the Reasoning and Learning Lab and  Montreal Institute of Learning Algorithms (MILA) at McGill University.

Prior to this, I was working in the Perceptual Computing space on Object Recognition at Intel Corporation, with application to self-driving cars.

I completed my Masters in the Electrical & Computer Engineering department at the University of Florida, Gainesville. At UF, I was fortunate to work under the supervision of Dr. Eakta Jain, on modeling saliency in comic art.

My research interests span reinforcement learning, computer vision, and robotics. I am highly motivated to work at the intersection of vision and reinforcement learning. During my doctoral studies, I aim work towards building systems that are able to perceive the world as much as humans do allowing them to reinforce learning and evolve with time just as humans. My work focuses on learning generalized temporal abstractions across both action and perception in the context of lifelong learning. Just like humans acquire skills and build on top of already existing skills to solve more complicated tasks, AI agents should be able to learn and develop skills continually, hierarchically and incrementally over time.

Prior to graduate school, I was working as a Research Associate, in the Intelligent Systems Laboratory at Indian Institute of Technology, Kanpur (IITK). My advisor was Dr. Laxmidhar Behera.

Before joining IITK, I was working at Robert Bosch Engineering and Business Solutions Limited (RBEI), as a Software Engineer. I completed my undergraduate studies at VIT University, India with a B.Tech degree in Electronics & Communication Engineering.

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