About me
I am a Research Scientist at Google DeepMind working on improving the coding abilities of Gemini models. I have a PhD from Carnegie Mellon University where I was adviced by Prof. Vincent Hellendoorn and Prof. Claire Le Goues. My thesis was on Navigating Challenges with LLM-based Code Generation using Software-specific Insights. My research interests include Artificial Intelligence for Code, Large Language Models, Generative AI.
Previously, I spent two years as a Research Fellow at Microsoft Research Lab - India where I was fortunate to work with Chetan Bansal on using Machine Learning techniques to aid the Software Developement process. I have also had the opportunity to collaborate with Dr. Sreangsu Acharyya, Dr. Subho Mukherjee, Dr. Nachi Nagappan and Dr. Tom Zimmermann on several projects.
Prior to the fellowship, I attended PES University where I obtained a Bachelor’s in Technology (B.Tech) in Computer Science and Engineering with a specialization in Data Science in 2019. I am grateful to have had the opportunity to work with Dr. Gowri Srinivasa on my Bachelor’s thesis.
Meet my puppy, Flynn!! Follow Flynn’s adventures on Instagram!
News
- [June 2025] I’m very excited to start my new job as a Research Scientist at Google DeepMind!
- [April 2025] I successfully defended my thesis at CMU!
- [March 2025] Paper titled “From Overload to Insight: Bridging Code Search and Code Review with LLMs” accepted at FSE-IVR 2025! The vision for this paper was developed at the Dagstuhl Seminar on Code Search.
- [February 2025] Invited to serve on the program committee for ICSE 2026!
- [January 2025] Invited to give a keynote and serve as a panelist at the VerifAI workshop at ICLR 2025. See you in Singapore!
- [November 2024] Awarded the Hima and Jive Fellowship in Computer Science at CMU!
- [October 2024] Invited to attend the Dagstuhl Seminar on Automated Programming and Program Repair as a Young Researcher!
- [May 2024] Will be interning with the RiSE group at Microsoft Research for the summer where I will be working with Sarah Fakhoury and Nikhil Swamy.
- [April 2024] Gave a talk titled “User Intent and Needs for Code Search” at a Dagstuhl Seminar on Code Search.
- [December 2023] Gave a talk titled “Beyond Syntax: Navigating Challenges in AI-Generated Code” at Microsoft Research.
- [December 2023] Paper titled “AI for Low-Code for AI” accepted at IUI 2024. (Preprint)
- [November 2023] Gave a talk on “CAT-LM: Training Language Models on Aligned Code And Tests” at JetBrains Research. (Recording)
- [September 2023] Paper titled “CAT-LM: Training Language Models on Aligned Code And Tests” accepted at ASE 2023. (Preprint)