About

I am an AI Engineer at Atomic Machines, where I do generative design with a focus on building physics simulations with AI agents. I graduated from Cornell University in 2025; my PhD thesis, “Learning and Interpolating Green’s Functions Learned from Data,” focused on data-driven approaches to Green’s functions. I worked with Prof. Christopher J. Earls as part of the Earls Group. I enjoy working at the intersection of math, physics, and programming. During my PhD, I interned with Pasteur Labs, working on graph models in a SciML context. I also interned at Atomic Machines during my PhD, working on the same problems I now pursue full time.

I completed my Integrated Masters in Technology in Mechanical Engineering from IIT Hyderabad in 2020 with Prof. Syed Nizamuddin Khaderi as the advisor for my Master’s thesis. We worked on developing a Finite Element package for modeling crack propagation in solids using Floating Node Method. Before working in Finite Elements I briefly worked in manufacturing. I interned at the MMT lab of Boeing R&T, Bangalore. I worked on numerically modeling Multipoint Thermoforming of sheet metals using ABAQUS.

Apart from research, I have been involved with social entrepreneurship for a brief period of time, where my team reached the Singapore Regional finals of the Hult Prize. I really enjoy playing and listening to music, biking. I absolutely love trying out different foods. F1 is my favorite thing to watch when I am not busy binging an unhealthy quantity of Anime.