π Computer Engineering @ Purdue (B.S.) | Electrical & Computer Engineering @ Purdue (M.Eng.)
π¬ Researcher in Control Theory, Reinforcement Learning, and Mechanistic Interpretability
The intersection of reinforcement learning and mechanistic interpretability, aimed at uncovering the internal mechanisms that govern agent behavior and developing principled methods to diagnose, steer, and align learning systems.
π MuSHR Car Navigation Research β Implementing autonomous navigation & path-planning algorithms
πΊ LPCV BenchMarck Tool β Developing quality detection of AI-generated images through the implementation of CMMD (CLIP Maximum Mean Discrepency)
π SWE-Agent β Designing and implementing my SWE-Agent to learn how I code


