Peiyang Song

Pasadena, California, United States
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Summary

🤩
Rockstar
🎓
Top School
Peiyang Song is a Caltech BS candidate in Computer Science with a Robotics minor, combining strong academic performance (4.2/4.0) with three years of hands-on experience in AI research at UC Berkeley and Stanford. Focused on advancing machine learning and robotics, Peiyang is actively preparing for a PhD beginning Fall 2026 and brings cross-institutional research exposure that bridges theoretical rigor with applied systems. Based in Pasadena, he excels at translating complex ideas into experimental implementations and has demonstrated the initiative to collaborate across top academic labs. Notably, his profile reflects a blend of elite technical training and an early research trajectory that signals readiness for graduate-level innovation.
code3 years of coding experience
bookCalifornia Institute of Technology
languagesEnglish, Chinese
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Github Skills (8)

theorem-proving10
machine-learning10
tactics9
llm-inference9
automation5
deep-learning4
incremental-learning4
pytorch4

Programming languages (5)

LeanC++JavaScriptShaderLabPython

Github contributions (5)

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Peiyang-Song/Peiyang-Song

Nov 2022 - Mar 2025

Contributions:31 pushes, 1 branch in 2 years 4 months
https://peiyang-song.github.io/
Contributions:89 pushes in 4 months
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