I participated in the AWS DeepRacer Leagues 2023 and 2024 consecutively, where I gained practical experience in Reinforcement Learning. I developed and deployed machine learning models for autonomous racing, focusing on optimizing for performance and generalization. My model demonstrated successful navigation of complex tracks at a  consistent lap times. I achieved 16th and 20th positions in the Asia-Pacific region during the 2023 and 2024 seasons, respectively. 

I had the privilege of participating in Astra, a satellite design hackathon conducted by SEDS-VIT. The hackathon provided a unique platform to explore cutting-edge space technologies. My team, competing against a diverse pool of participants, successfully advanced to the top 10 finalists with our innovative CubeSat propulsion module design.

Our team participated in the Boeing Aeromodelling Competition 2018-19, and successfully navigated the rigorous qualifying round. We demonstrated our aircraft's ability to carry a substantial payload for the required duration, earning us a place among the top 30 teams. This achievement propelled us into the highly competitive Main Round, where we ultimately secured a position within the top 15.