Fenglin Yuan
Senior Software Engineer, Machine Learning at Tubi
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolFenglin Yuan is a Senior Software Engineer specializing in machine learning with a decade-plus track record of shipping production-grade code and mining terabyte-scale datasets. He blends deep academic training (PhD in Materials Science) with practical ML systems experience—building recommendation and NLP embedding pipelines at Tubi and leading the Aquila ML library and large-scale topic modeling at American Express. Comfortable across Python, Java, and production tooling, he has applied unsupervised learning, time-series models, and large language models to both scientific problems and real-world products. A competitive Kaggle participant and active GitHub contributor, he favors showing results in code over hype. Based in New York, he’s known for turning complex research methods into reliable, scalable software that serves thousands of users.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.), Materials Physics, 3.6 / 4.0, Bachelor of Science (B.S.), Materials Physics, 3.6 / 4.0 at Wuhan UniversityDoctor of Philosophy (Ph.D.), Materials Science and Engineering, 3.8 / 4.0, Doctor of Philosophy (Ph.D.), Materials Science and Engineering, 3.8 / 4.0 at Rensselaer Polytechnic Institute
Chinese, English
Github Skills (39)
algorithms10
jetbrains10
intellij10
jvm10
spring10
redis10
mysql10
system-design10
zookeeper10
java10
system10
pycharm10
copilot10
chatgpt9
openai9
Programming languages (3)
Github contributions (5)
qiaofenlin/StudyNotes
Jan 2018 - Jun 2018
Contributions:30 commits, 29 pushes, 1 branch in 4 months
qiaofenlin/rill-flow
Dec 2023 - Aug 2024
Contributions:1 PR, 152 pushes, 18 branches in 7 months
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