Xiaodong Bi
Machine Learning Engineer at Optiver
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolXiaodong Bi is a machine learning engineer with seven years of experience applying ML to high-frequency trading, recommendation systems, and finance-focused research. Currently at Optiver, he bridges HFT modeling and production-grade ML pipelines, previously contributing to recommendation and sequence modeling at ByteDance and finance AI research at Microsoft Research Asia. He holds an MS focused on machine learning and data mining from Nanjing University and a strong theoretical foundation from a top BE in computer science with a mathematics minor. An active contributor to open-source documentation, he has improved accessibility of the widely used microsoft/qlib quantitative investment platform, reflecting a pragmatic focus on making complex tools usable. Known for blending research rigor with hands-on engineering, he brings a taste for geek culture and unconventional problem-solving to applied ML challenges.
7 years of coding experience
Bachelor of Engineering - BE, Computer Science, 4.65/5.00, Bachelor of Engineering - BE, Computer Science, 4.65/5.00 at Tongji UniversityMaster of Science - MS, Computer Science (Direction: Machine Learning and Data Mining), Master of Science - MS, Computer Science (Direction: Machine Learning and Data Mining) at Nanjing University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
technical-writing10
read-me10
documentation10
api-documentation9
Programming languages (5)
Github contributions (5)
microsoft/qlib
Sep 2020 - Mar 2022
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Role in this project:
Technical Writer
Technical WriterContributions:13 reviews, 195 commits, 52 PRs in 1 year 5 months
Contributions summary:Xiaodong's commits primarily focused on updating documentation and README files within the `microsoft/qlib` repository. Their work involved modifying documentation links, API references, and code examples, indicating a focus on improving the clarity and accessibility of the project's information. The changes suggest a dedication to ensuring users can easily understand and utilize the Qlib platform and its features. These edits are focused on the documentation aspects of the project.
aimachine-learningsupervised-learningquantitative-financestock-data
bxdd/ESL-Note
Dec 2020 - Mar 2022
ESL-Note 是阅读 ESL中文版 的笔记。笔记中对书中出现的公式进行了详细的推导，习题也进行了求解，与中文版中的做法有所差异并且加入了知识补充和扩展部分。
Contributions:87 commits, 49 pushes in 1 year 2 months
machine-learningstatistical-learningmathmaticaleslmarkdown
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