Profile

aadi shah

18 y/o, ai + philosophy @ stanford

building @ mylon.ai, research @ harvard med

interested in multi-agent autonomy + reinforcement learning

building:

Mylon AI

agentic office365 for academia

backed by pear vc, 1517 medici, yale

(prev.) Code4Code

leetcode meets chess.com

hit 20k games played & 5k users in 24 hours

(prev.) SignAll

built an ai sign language translation app at 15

raised 35k; ashoka ambition accelerator '24

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 / Mass General Brigham, Saint Louis University, NYU Stern, and Discovery Partners Institute.

Publications:

  • 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)
    • Affiliations: Center for Sustainable Business @ NYU Stern & Illinois Math and Science Academy
  • 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)
    • Affiliations: Discovery Partners Institute & Illinois Math and Science Academy

experience:

Machine Learning Researcher

Mass General Brigham & Harvard Medical School

2024 - Present
  • Developed and implemented a multi-modal Visual Question Answering (VQA) radiology pipeline.
  • Presented research findings at a conference and prepared them for journal publication.

Machine Learning Research Intern

Discovery Partners Institute

2024
  • Engineered a deep learning pipeline for protein dynamics prediction using advanced embedding and attention mechanisms.
  • Presented research at an international bioinformatics conference.

Machine Learning Research Intern

Saint Louis University

2023 - 2024
  • Forked Microsoft AirSim to create a heterogeneous land & aerial simulation engine.
  • Developed an NLP-driven agentic framework for automated simulation testing.
  • Applied Multi-Agent Reinforcement Learning (MARL) algorithms to autonomous system simulations.

Software Engineering Intern

SafeStart Medical

2023
  • Developed a customer portal using modern web technologies.
  • Led the redesign of a mobile portal for an improved user experience.

want my full resume? email me at aadi2 [at] stanford [dot] edu

contact: