I'm currently working on multi-agent systems at Mylon AI. Mylon is backed by Pear VC, 1517, and Yale. Previously, I built "leetcode meets chess.com" which hit 20k games played & 5k users in 24 hours. Before that, at 15, I built an AI app and raised $35k.
research & publications:
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:
Machine Learning Researcher
Mass General Brigham & Harvard Medical School
foundation models for medical imaging
Machine Learning Research Intern
Discovery Partners Institute
protein dynamics prediction using deep learning
Machine Learning Research Intern
Saint Louis University
llms for automated uav simulation design (s-agent) & rl for energy-efficient wind stabilization
Software Engineering Intern
SafeStart Medical
software solutions to prevent surgical "never events"