Chaehong Lee is a product-minded AI engineer based in NYC, with a background in computer vision, LLMs, and generative models. She specializes in transforming state-of-the-art research—like function-calling agents, Stable Diffusion pipelines, and edge-native vision systems—into polished, real-time products that feel intuitive and expressive to use.

Currently at Meta Reality Labs, and formerly at Microsoft Mixed Reality, she brings technical depth with strong systems thinking, shipping experience, and visual design instincts. Her recent work spans sparse autoencoder interpretability, multimodal prompt interfaces, and agentic tool-calling.

Open to AI-first teams and startups—especially in NYC, SF, or remote—building next-gen tools at the intersection of usability, creativity, and machine intelligence.

CV
Education
  • Washington University in St. Louis
    B.S. in Computer Science
    ↳ Double Major in Applied Mathematics
    ↳ Minor in Communication Design
  • Same school
    M.S. in Computer Vision
    ↳ Sparse to Dense Optical Flow with Deep Neural Networks
Experience
  • Meta
    New York, NY
    Software Engineer (2025-)
  • Microsoft
    Seattle, WA
    Research Engineer (2020-2024)
  • GECO: GPT-Driven Estimation of 3D Human-Scene Contact in the Wild
    First Author, ECCV, 2025
  • Multi-Agent Geospatial Copilots for Remote Sensing Workflows
    First Author, ICECS, 2024
  • Unlearning climate misinformation in large language models
    arXiv, 2024
  • LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching
    arXiv, 2024
last updated 06.15.25
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