Huanzhi Mao
Student Researcher at UC Berkeley Sky Computing Lab
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHuanzhi Mao is a PhD student and student researcher at UC Berkeley specializing in AI and ML systems, with a focus on LLM agents and their tool-use capabilities. He leads the Berkeley Function Calling Leaderboard (BFCL) and is lead author on multiple BFCL releases and a co-first author on Gorilla OpenFunction v2, contributing to widely referenced open benchmarks for function-calling in LLMs. With four years of industry and research experience—including an AI research internship at Salesforce and engineering roles at startups—he blends experimental rigor with production-minded engineering. Huanzhi has also led course infrastructure and content as Head TA for CS 61A and founded CalCourse, reflecting a commitment to education and tooling beyond research. Notably, his work ties benchmark design to practical agent behaviors (multi-turn, web search, and memory), surfacing real-world failure modes for next-gen LLM tooling.
4 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, BerkeleyHigh School Diploma, High School Diploma at Brewster AcademyMiddle School Diploma, Middle School Diploma at Nanjing Foreign Language School
Chinese, English, French
Github Skills (42)
pytorch10
openai-api10
chatgpt10
llama10
inference10
llm10
api-documentation10
api10
cuda10
transformer9
taglib7
jupyter-book7
gpt7
binder6
mlops6
Programming languages (6)
Github contributions (5)
CalCourse-Dev/CalCourse_FrontEnd
Oct 2022 - Jan 2025
Contributions:32 reviews, 38 PRs, 121 pushes in 2 years 4 months
calcourse/calcourse.github.io
Jun 2022 - Feb 2025
Contributions:5 PRs, 184 pushes, 4 branches in 2 years 7 months
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