About Me
I am a third-year PhD student at the University of Massachusetts, Amherst, working under Prof. Scott Niekum. My research interests lie in designing algorithms for safe and efficient reinforcement learning (RL).
Before starting my PhD at UMass, I worked at Adobe India in machine learning (ML) research/engineering roles (2020-2023). There I contributed to tackling problems in PDF semantic analysis, RL explainability, image editing using language and video segmentation. Prior to that, I completed my B.Tech. in Electrical Engineering from the Indian Institute of Technology (IIT) Madras (2016-2020).
In my leisure time, I like to read, write, and explore. My goodreads reading list, blogs on a few topics I really wanted to delve into and some memorable places I recently visited.
News
(Last updated: Dec 2025)
- - (Sept 2025) Poster presentation by our group at the annual Undergraduate Research Voluntary (URV) exhibition at UMass Amherst.
- - (Aug 2025) Demonstrated a working prototype of a creative multi-agent large-language tool-calling system along with decentralized training algorithms at Adobe Research, CA.
- - (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.