Huawei Lin
Research Intern at Rochester Institute of Technology
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHuawei Lin is a PhD candidate and research intern based in San Jose focusing on LLMs, AI privacy/security, and scalable trustworthy ML, with seven years of mixed research and industry experience. He has interned at ByteDance and Amazon working on multimodal agents and AGI-related systems and currently researches LLM safety and privacy at RIT under Prof. Weijie Zhao. His background in computer vision and biometrics from Shenzhen University, plus hands-on audio recognition work at ByteDance, gives him a rare cross-modal perspective on interpretability and multimodality. An ACM-ICPC medalist and former leader of a nationally funded undergraduate project, he pairs competitive algorithmic rigor with applied research that bridges prototypes and production. Talk is cheap—he prefers demonstrating impact through code and deployed agent systems.
7 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computing Information & Science, Doctor of Philosophy - PhD, Computing Information & Science at Rochester Institute of Technology
Stackoverflow
1reputation
65reached
0answers
1question
Github Skills (15)
llama10
triplet7
loss7
data-structures6
data-conversion6
javascript6
parallelization5
deep-learning5
machine-learning4
pytorch3
language-model3
tensorflow2
metaprogramming2
python2
access-token1
Programming languages (5)
Github contributions (5)
huawei-lin/winsoullin.github.io
Oct 2018 - Sep 2020
Contributions:78 commits, 184 pushes, 1 branch in 1 year 11 months
huawei-lin/HCP_Dataset_Download_Automatically_Script
May 2020 - Sep 2020
Contributions:18 commits, 17 pushes, 1 branch in 4 months
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