殷力 Yin

Research Intern at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences

Shenzhen, Guangdong Province, China
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Summary

👤
Senior
🎓
Top School
殷力 Yin is a research-focused software engineer with nine years of experience, currently pursuing deep learning research in NLP at the Shenzhen Institute of Advanced Technology (CAS). His background spans practical machine learning work at Baidu on recommendation algorithms and hands-on systems engineering from earlier roles maintaining enterprise Java systems, conferencing, and surveillance at State Grid. He combines rigorous academic training (Master’s in Electronics and Communication Engineering) with a pragmatic engineering mindset that values efficiency, organization, and delivering maintainable systems. A long-time programming enthusiast, he blends research curiosity with production-aware implementation, making him effective at turning models into deployable components. Based in Shenzhen, he brings both research sensibility and field-proven operational experience, and is known for taking initiative in team and community activities beyond pure engineering.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Electronics and Communication Engineering, A, Master's degree, Electronics and Communication Engineering, A at University of Chinese Academy of Sciences
bookBachelor’s Degree, Telecommunications Engineering, 5%, Bachelor’s Degree, Telecommunications Engineering, 5% at 南昌大学
languagesChinese, English
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Github Skills (21)

python9
machine-learning9
gpu9
deep-learning9
numpy8
neural-network8
tensor7
pytorch7
hexo7
acceleration7
tensorflow7
autograd7
gpu-acceleration7
documentation7
xelatex6

Programming languages (6)

ShellCTeXHTMLPythonStylus

Github contributions (5)

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Contributions:26 pushes, 1 branch, 1 issue in 4 years 11 months
Contributions:24 commits, 4 PRs, 33 pushes in 7 months
deep-learningtensorflow
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殷力 Yin - Research Intern at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences