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 and to closely collaborate with Prof. Philip Thomas. My research focuses on designing algorithms for safe and efficient reinforcement learning (RL).
Earlier, I spent time at Adobe (India) tackling novel machine learning challenges (2020-2023). Prior to that, I completed 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. You can find my goodreads reading list here. I have also written a couple of blogs on topics that really intrigued me and here are some photos from recent trips.
News
(Last updated: May 2026)
- - (May 2026) "COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams" preprint published on arXiv.
- - (April 2026) I will join as a summer research intern at Amazon AWS AI Lab. The focus of research will be coding AI agents.
- - (Sept 2025) "Evaluation-aware Reinforcement Learning" preprint published on arXiv.
- - (Sept 2025) Poster presentation by our group at the annual Undergraduate Research Voluntary (URV) exhibition at UMass Amherst.
- - (Mar 2025) I will join Adobe Research, CA as a research intern. My work will focus on multi-agent LLM systems.
- - (May 2024) Our team demonstrated a navigation robot serving beverages at the LLAMA Group of Labs, UMass Amherst.
- - (Sept 2023) I am excited to begin my MS-PhD journey at UMass Amherst.
- - (Jan 2023) I am thrilled to share that my work on explainability of RL agents got accepted at ICLR 2023.
- - (Nov 2022) My work on image-based search in documents got accepted at WACV 2023.
- - (Aug 2020) I am excited to join Adobe India's Media and Data Science Research group.
- - (May 2020) I graduated from IIT Madras with a B.Tech. in Electrical Engineering.
- - (Jan 2020) My internship work got accepted at ICLR 2020.