I'm a junior at MIT studying computer science and engineering. I'm currently a machine learning researcher at CSAIL and the Department of Brain & Cognitive Sciences, conducting hyperparameter optimization by analyzing how learning rates affect neural network convergence, validating recent theory through large-scale PyTorch experiments.

I previously interned 2x at Amazon Web Services, working on serverless containers with the Fargate Placement team, and am a part-time developer at Vibrantec, a startup building a cross-platform health and wellness app.

I build side projects focused on automation tools and have experience with the full product development cycle. I'm passionate about AI automation -- using agents to streamline complex workflows and eliminate repetitive tasks.

I serve as an advisor to The Silicon Project, a nonprofit donating electronics to underserved communities, where I previously led the IT department. Before transitioning to software, I researched molecular pharmacology at the Grimm Lab at Memorial Sloan Kettering Cancer Center, investigating statin-based approaches to improve nanomedicine delivery for cancer treatment.

Outside of tech, I'm passionate about working out, meal prep, movies, reading, basketball, and hiking.