Huawei Lin
City of Rochester, New York, United States
Summary
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RockstarHuawei 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
Github Skills (24)
llm-inference10
cpp10
language-model8
training-data8
hardware7
deep-learning6
parallelization5
large-language-models4
generative3
generative-ai3
tensorflow3
autoregressive-models3
text-to-image3
pdf-files3
llama3
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/huawei-lin.github.io
Feb 2023 - Nov 2025
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Contributions:313 pushes in 2 years 9 months
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