Hanmin Qin
算法工程师 at 腾讯
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolHanmin Qin is an algorithm engineer with 11 years of experience, currently developing game AI for Tencent’s 王者荣耀 in Beijing. He combines production-grade engineering with a research mindset, evidenced by his multi-year core contributions and technical committee role in the widely used scikit-learn library, where he improved PCA stability, model-selection tests, examples, and documentation. A Peking University computer science graduate, he has hands-on expertise in machine learning algorithms, numerical robustness, and real-time game AI systems. Colleagues know him for translating subtle mathematical fixes into reliable, production-ready code and for bridging open-source research with large-scale commercial products.
11 years of coding experience
学士, 信息科学技术学院计算机专业, 学士, 信息科学技术学院计算机专业 at 北京大学
Stackoverflow
29reputation
381reached
1answer
2questions
Github Skills (17)
algorithms10
python10
scikit10
machine-learning10
implement10
scikit-learn10
documentation10
evaluation9
algorithm9
pca9
machine-learning-algorithms9
eval9
data-analysis9
statistics8
data-science8
Programming languages (8)
Github contributions (5)
scikit-learn/scikit-learn
Mar 2017 - Jan 2020
scikit-learn: machine learning in Python
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:336 commits, 754 PRs, 503 pushes in 2 years 10 months
Contributions summary:Hanmin contributed to the documentation, examples, and core code of the scikit-learn library. Their contributions included improving example plots, refining error messages within tree models, fixing issues in model selection tests, updating the documentation, adding a dataset to the documentation, and correcting code and documentation related to various machine learning algorithms. The user also fixed numerical stability and implementation errors within Principal Component Analysis (PCA).
data-analysispythonstatisticsdata-sciencelearn-machine-learning
qinhanmin2014/scikit-learn
Jul 2019 - Sep 2020
scikit-learn: machine learning in Python
Contributions:102 pushes, 68 branches in 1 year 2 months
pythonk-meanslogistic-regressiondata-sciencelearn-machine-learning
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