Sang Choe
Member Of Technical Staff at Anthropic
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSang Choe is a Member of Technical Staff at Anthropic and a Carnegie Mellon PhD in Computer Science with eight years of experience building and researching large-scale, gradient-based AutoML systems. His research as a graduate student focused on understanding training data and scaling ML workflows, bridging rigorous academic methods with practical engineering for production models. Prior roles include a machine translation research internship at Microsoft, reflecting breadth across applied NLP and systems. Based in San Francisco, he combines deep systems knowledge with hands-on implementation experience, often operating at the intersection of model training infrastructure and automated model search. An often-overlooked strength is his dual undergraduate background in electrical engineering and mathematics, which informs his careful quantitative approach to complex ML system design.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electrical and Computer Engineering & Mathematics, Bachelor's degree Electrical and Computer Engineering & Mathematics at Seoul National UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
English, Korean
Github Skills (39)
autodiff10
pytorch10
artificial-intelligence10
python10
meta10
meta-learning10
machine-learning10
differentiation10
reinforcement-learning10
numpy10
automatic-differentiation10
multilevel10
deep-learning10
gpu10
neural-architecture-search10
Programming languages (1)
Github contributions (5)
sangkeun00/sangkeun00.github.io
Feb 2018 - Jan 2025
Contributions:169 pushes, 6 branches in 7 years
leopard-ai/betty
Oct 2021 - Jan 2023
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Contributions:2 reviews, 355 commits, 10 PRs in 1 year 3 months
meta-learningautomatic-differentiationneural-architecture-searchmetamultilevel-optimization
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