Jianyu Liu

Member Of Technical Staff at OpenAI

Beijing, United States
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Summary

👤
Senior
🎓
Top School
Jianyu Liu is a machine learning-focused research engineer with 8 years of experience applying deep learning and statistical modeling to ads ranking, user modeling, and feature infrastructure at Meta and now building at OpenAI. He holds a Ph.D. in Statistics from UNC Chapel Hill and combines strong algorithmic foundations with practical systems skills in Python, C/C++, SQL, Spark, and R. At Meta he progressed from Research Scientist to Staff Research Scientist working on win-rate prediction, creative ranking and GenAI-powered ranking systems, demonstrating an ability to move models from research to production-scale feature serving. His background spans both applied research and product-minded engineering—optimizing ad bid suggestions at A9 and deploying clinical prediction pipelines with R Shiny during earlier internships. Jianyu is comfortable with PyTorch, XGBoost and large-scale data stacks, and he brings a quantitative rigor uncommon in production ML teams. Based in Beijing with cross-border experience, he blends academic depth and industry impact to tackle hard modeling and infrastructure problems.
code8 years of coding experience
job8 years of employment as a software developer
bookMaster's degree Statistics, Master's degree Statistics at Shanghai University of Finance and Economics
bookDoctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at The University of North Carolina at Chapel Hill
languagesEnglish, Chinese
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Github Skills (65)

python10
low-code10
vpc10
automation10
retrieval-augmented-generation10
code-runner10
istio10
agentic-workflow10
microservices10
agentic-ai10
quartz10
no-code10
prompt10
ai10
gpt10

Programming languages (5)

TypeScriptJavaJavaScriptGoHTML

Github contributions (5)

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Lyeluo/yechen.github.io

Dec 2019 - Feb 2021

Contributions:61 commits, 80 pushes, 1 branch in 1 year 2 months
Lyeluo/mytest

Jan 2018 - Mar 2018

Contributions:1 push, 1 branch in 2 months
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