About Me

I am a fourth year PhD candidate at University of Massachusetts, Amherst, working on reinforcement learning (RL). I have the fortune to work under Prof. Scott Niekum. At UMass, I have also had the opportunity to closely collaborate with Prof. Philip Thomas. My research mainly focuses on designing RL algorithms that use efficient policy evaluation for improved safety and performance.

During my PhD, I have interned at Amazon Kiro Science under Dr. Manish Prajapat and at Adobe Research under Dr. Nikos Vlassis and Dr. Jayakumar Subramanian during the summers of 2026 and 2025, respectively.

Prior to my PhD, I spent three years at Adobe (India) developing solutions to industry-scale machine learning problems (2020-2023). I have a BTech in Electrical Engineering from the Indian Institute of Technology (IIT) Madras (2016-2020).

In my leisure time, I like to hang out with my friends, read books, write "something", and explore places.

A note to potential collaborators

I am open to collaborate on ideas that apply non-convex optimization techniques to policy gradients.

News

(Last updated: Sept 2026)