Yuxiang Wei
Champaign, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolYuxiang Wei is a PhD student in Computer Science at UIUC with seven years of experience building and training code-focused large language models and agentic systems. He has held multiple research roles at Meta FAIR and Snowflake where he worked on CodeGen, code LLM pretraining, world models for code, and reinforcement learning for agentic code agents. His work blends rigorous academic research with production-scale model training, including self-play and world-model approaches to improve code generation and agent behavior. Based in Champaign, Illinois, he brings hands-on expertise in designing training pipelines and scaling LLMs for developer-centric tasks. Notably, his trajectory spans both research scientist positions and internships, indicating rapid progress from intern to core researcher on cutting-edge code intelligence projects. He combines deep technical focus with practical experience shipping large-model experiments in industry research environments.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Tongji UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-Champaign
Github Skills (143)
benchmark10
python10
metal10
deep-learning10
gpu10
compression10
opencl10
tvm10
javascript10
nlp10
vulkan10
cpu10
natural-language-processing10
pytorch10
mixture-of-experts10
Programming languages (15)
Github contributions (5)
llm4code/2024
Sep 2023 - Oct 2024
The First International Workshop on Large Language Model for Code 2024 (Co-Located with ICSE 2024)
Contributions:7 reviews, 5 PRs, 67 pushes in 1 year
bigcode-project/selfcodealign
Apr 2024 - Feb 2025
[NeurIPS'24] SelfCodeAlign: Self-Alignment for Code Generation
Contributions:3 reviews, 2 PRs, 68 pushes in 10 months
large-language-modelsllmllm4code
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