Guanyu Yao

Teaching Assistant at UCSB College of Engineering

Santa Barbara, California, United States
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Summary

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Rockstar
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Top School
Guanyu Yao is a PhD student and teaching assistant at UCSB with four years of hands-on experience in AI and software research. He teaches problem-solving and generative AI courses while contributing to open-source ML infrastructure, including work on the LMFlow training/inference platform during a research internship at HKUST. Trained in Artificial Intelligence from Beijing Normal University, he blends academic rigor with practical engineering—comfortable moving between coursework instruction, research codebases, and production-oriented tooling. Based in Santa Barbara, he brings a researcher’s curiosity and a developer’s focus on reproducible ML workflows, often surfacing implementation details that bridge prototype models to usable systems.
code4 years of coding experience
bookBachelor of Engineering, Artificial Intelligence, Bachelor of Engineering, Artificial Intelligence at 北京师范大学
bookUCSB College of Engineering
bookDoctor of Philosophy, Computational Science, Doctor of Philosophy, Computational Science at Ultimate Closer Sdn. Bhd
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Github Skills (15)

pytorch10
deep-learning10
chatgpt10
transformer9
language-model9
longtext8
model-conversion6
editing6
coremltools5
validation5
machine-learning5
benchmark5
tensorflow4
coreml3
llm1

Programming languages (1)

Python

Github contributions (5)

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yaoguany/LMFlow

Apr 2023 - Mar 2024

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Model for All.
Contributions:103 pushes, 11 branches in 11 months
yaoguany/yaoguany.github.io

Aug 2024 - Dec 2024

Contributions:10 pushes, 1 branch in 4 months
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Guanyu Yao - Teaching Assistant at UCSB College of Engineering