I create scalable machine learning systems, train large language models, and explore quantum-enhanced algorithms to solve real problems.
Team lead of Purdue Electric Vehicle's Autonomous team (~30 people). Responsible for fully designing and implementing self-driving solution from scratch. Using first-ever 3DGS pipeline for autonomous racing on-device.
A custom 1.3B parameter GPT2-style language model pretrained on 500B tokens from diverse sources including Oscar, OpenWebText, Wikipedia, and ArXiv, achieving impressive perplexity scores.
Developed a platform for Purdue's Electric Vehicle Club Autonomous Team that takes combinations of videos and images and uses 3D Gaussian Splatting to quickly create a 3D scene of the area to view and move around in.