I'm currently working on research and studying CS @ Stanford. Previously, I led engineering at a startup backed by Pear VC and others, and worked on ML Research & Engineering at Harvard Med. Before that, at 15, I built an AI app and raised $35k.
research:
my research interests lie in reinforcement learning, foundation models (particularly in the context of robotics or biology), and multi-agent systems. i've conducted research at Harvard Med, Saint Louis University, NYU Stern, and Discovery Partners Institute.
- Efficacy of Large Language Models for Systematic Reviews (Shah, Mehendale, Kanthi)
- Conference Paper at the 2nd International Conference on Foundation and Large Language Models (FLLM2024)
- DynPred: A Multi-Modal Deep Learning Approach for Protein Dynamics Prediction (Shah, Dixit)
- Conference Poster (work in progress) at the 15th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2024)
experience:
Lead Engineer
Mylon AI
led engineering at 4-person startup; built nexus & luflot; backed by pear vc, 1517, and yale
Machine Learning Researcher
Harvard Medical School
vision language models for medical imaging question-answering
Machine Learning Research Intern
Discovery Partners Institute
foundation models for per-residue dynamics prediction; acm-bcb 2024
Machine Learning Research Intern
Saint Louis University
multi-agent pipeline leveraging telemetry for autonomous uav simulation synthesis (s-agent)
rl control for energy-efficient wind stabilization
Software Engineering Intern
SafeStart Medical
software solutions to prevent surgical "never events"