hey! my name is

Aadi Shah

Aadi Shah

I'm an undergrad at Stanford studying computer science and philosophy. I work on memory and continual learning for generalist robot policies at the Stanford AI Lab, where I'm part of the IRIS group advised by Chelsea Finn. I previously spent a summer at Google working on Gemini Enterprise for CX.

telemetry
teaching a pixel robot to stack crates→

research

  • Combining Symbolic and Perceptual Memory for Long-Horizon Robot Manipulation
    Aaditya Shah
    CS231N: Deep Learning for Computer Vision
    Nominated for Best Paper Award
  • RECAP-Ψ: Advantage-Conditioned Fine-Tuning for Open-Source Humanoid VLAs
    Jonathan Lu*, Aaditya Shah*, Karthik Pythireddi*
    CS224R: Deep Reinforcement Learning
  • SLLU pipeline diagram: domain documents are embedded, retrieved, and combined with a refinement dialogue to prompt an LLM that generates sUAS test scenarios.
    Agentic LLM-Driven Simulation Testing and Automated Analysis for Small Uncrewed Aerial Systems
    Jithin Garapati, Aaditya Shah, Bohan Zhang, Michael Vierhauser, Ankit Agrawal
    Preprint (SSRN)

projects

  • Teaching a pixel robot to stack crates
    How to use reinforcement learning to teach an old robot new tricks.
  • Predator–Prey Simulator
    A C++ simulation where predator and prey agents are driven by neural networks evolved over generations, so hunting and evasion emerge from selection alone.
  • krates
    Your AI devops engineer before you can afford to hire one — automating Docker and Kubernetes for early-stage teams.
    CalHacks 12.0
    1st place, YC Track

Last updated: October 2026

aadi2 [at] stanford [dot] edu