Catherine Lee
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolCatherine Lee is an ML engineer and open-source contributor with a decade of experience building recommendation, ranking, and LLM systems across major tech and startup environments including Google, Snap, Adobe, Lamini, and Amazon. She blends research-driven curiosity with production chops—shipping personalization features for Prime Video and prototype vision and bandit systems at Snap and Adobe while contributing novel RL objectives and DPPO work to Hugging Face’s TRL. Her interests center on LLM post-training, alignment, and mechanistic interpretability, and she’s collaborated on multilingual safety efforts with Cohere and Hugging Face. Catherine co-founded ACM AI @ UCSD to teach and scale student ML education, reflecting a knack for translating research into accessible learning and tools. Based in San Francisco, she pairs rigorous academic training with hands-on experimentation on GPU clusters and cloud ML stacks, often focusing on methods that improve both efficiency and evaluation diversity.
10 years of coding experience
5 years of employment as a software developer
University of California, San DiegoArtificial Intelligence Graduate Certificate, Artificial Intelligence Graduate Certificate at Stanford University
English
Github Skills (46)
music-generation10
pytorch10
magenta10
inference10
cuda10
gpt10
music10
amd9
llm9
tpu9
llama9
mlops9
api9
generative-art9
llmops9
Programming languages (7)
Github contributions (5)
catherinelee274/fraud_detection
Jan 2019 - Sep 2024
Contributions:11 PRs, 20 pushes, 6 branches in 5 years 8 months
pythonadvertisementflaskmobile-appclicking
catherinelee274/catherinelee274.github.io
Jan 2016 - Oct 2021
Portfolio Website
Contributions:361 commits, 40 PRs, 333 pushes in 5 years 10 months
cssjavascriptreactreactjs
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