I am an ML Engineer at Maxim AI. Previously, I was a Research Fellow at Microsoft Research India where I worked with Nagarajan Natarajan and Aditya Kanade on understanding the limitations of LLMs and improving their capabilities to automate the software engineering pipeline. In the past, I have also collaborated with Nishanth Chandran, Dimitrios Dimitriadis, and Divya Gupta on problems related to privacy-preserving machine learning. I did my undergrad from the National Institute of Technology Karnataka (NITK), Surathkal. My interests lie in Machine Learning, specifically in AI4Code and Safety.
News
- July, 2024: Our work NoFunEval has been accepted at COLM 2024!
- Jan, 2024: Pre-Print on NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness is now out on Arxiv. Check out our tweet!
- May, 2023: Pre-Print on Fed-Encoder : A One-Shot Federated Learning Solution is now out.
- July, 2022: Big Move! Joined Microsoft Research India as a Research Fellow.
- February, 2022: Watch the final recording of my presentation to Microsoft Research NYC on "Empirical Analysis of Privacy Preserving Learning."
- February, 2022: Featured on Microsoft Research's website.
- January, 2022: Selected to attend Research Week with Google organized by Google Research India.
- October, 2021: Our paper titled Explanations in Multi-Agent Search and Rescue Task featured in the RISS 2021 Working Papers Journal.
- April, 2021: Selected to work as an Independent Developer as part of the Reinforcement Learning Open Source Fest collaborating with the Real World Reinforcement Learning Team at Microsoft Research, New York City.
- April, 2021: Selected for the Robotics Institute Summer Scholar Program organised by Carnegie Mellon University collaborating with the Advanced Agent Robotics Technology Lab team.
- March, 2020: Selected for the Indian Academy of Sciences Summer Research Fellowship.
- December, 2019: Awarded the OP Jindal Engineering Scholarship.
- December, 2019: Finalist at the Speak for India, Karnataka edition debate competition.