👋 About Me

I'm a Master's student at Cornell University studying Computer Science, graduating in May 2026. I conduct ML research in Kilian Weinberger's group.

I completed two internships at Amazon on a research science team, where I trained computer vision models and developed algorithms for improving package processing efficiency. My code is currently in production in 16 package processing centers, with plans to scale across North America.

💡 Interests

  • LLM Agents
  • Computer Vision
  • Memory Augmented Models
  • Neuro-symbolic AI

📚 Publications

  • Pi-CoT (formerly known as Memento)
    Under review at ICLR — 2026
    PDF | arXiv
  • Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
    ACMi CIKM — 2022
    PDF | arXiv

💼 Projects

GraphMind: Neuro-symbolic Graph Memory for Large Language Models

Researching novel approaches to memory-augmented LLMs for reasoning and planning, with 3 key improvements over current systems: (1) reinforcement learning for graph memory updates, (2) property-graph databases for memory storage, and (3) graph neural networks for memory retrieval.

GitHub ↗

SmartCRM - A Gen-AI powered Customer Relationship Management System

Designed 2 LLM chain architectures with Google Search integration to autogenerate personalized email replies and follow-ups to people in my network based on past communication and recent news about their company. SmartCRM uses a PostgreSQL backend with a React frontend.

GitHub ↗

⏰ Off The Clock

Outside of coding and reading papers, I enjoy playing soccer, ping pong, volleyball, and most other sports when I get the chance. I also like gaming (I'm about to 100% Hollow Knight), hiking, picking up new magic tricks, and watching a good show.