Peng Lin
Researcher (Large Language Models), Applied Machine Learning at ByteDance
United States
Summary
🤩
Rockstar🎓
Top SchoolPeng Lin is a researcher specializing in large language models and applied machine learning with 11 years of industry experience, currently working at ByteDance. He combines deep academic training—holding a PhD in Computer Science from Washington State University and an MS from Shanghai Jiao Tong University—with hands-on research driving LLM advances in a high-impact product environment. Comfortable bridging theory and production, he focuses on scalable ML systems and model-driven applications that matter to large user bases. Colleagues describe him as a pragmatic scientist who translates complex research into deployable solutions while staying attuned to real-world constraints. Despite a research-heavy profile, he brings practical engineering chops from long-term industry engagement, making him adept at both prototyping novel models and shepherding them toward production readiness.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Washington State UniversityMaster of Science - MS, Master of Science - MS at Shanghai Jiao Tong University
Github Skills (8)
plato9
nearest-neighbors8
java7
distributed-computing7
distributed-systems4
benchmarking3
benchmark3
graph3
Programming languages (1)
Github contributions (5)
wsu-db/GDRB
Aug 2018 - Aug 2018
Contributions:19 commits, 2 PRs, 15 pushes in 25 days
benchmarkgraph-databenchmarkinggraph
penglin03/emacs.d
Jan 2015 - Sep 2015
Contributions:49 pushes, 2 branches in 7 months
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