Qianli Ma
算法工程师 at 腾讯音乐
Beijing, China
Summary
👤
Senior🎓
Top SchoolQianli Ma is an algorithm engineer with a decade of experience applying machine learning and quantitative techniques across music recommendation, video ranking, and asset management. Based in Beijing, he has driven measurable product gains at Xiaomi and Tencent Music—raising video completion AUC nearly 10% and cutting playback duration RMSE by ~13%—and built high-sharpe quant strategies in internships (annualized returns up to 66% in backtests, Sharpe >7). He combines production-focused feature engineering (Scala/SQL) and online model deployment with deep experimentation in attention-based architectures and high-frequency factor construction. Comfortable in Python and C++ for high-performance computing, he also automates analytics pipelines to compress workflows from minutes to seconds. Pragmatic and research-minded, Qianli bridges industry-scale systems and cutting-edge quant research, making him well-suited for global quant developer roles.
10 years of coding experience
Bachelor's degree, Financial Technology, 88/100, Bachelor's degree, Financial Technology, 88/100 at Beijing Normal University
Chinese
Github Skills (33)
monitoring10
dashboard10
mysql10
data-visualization10
visualization9
analytics9
visualize9
bitcoin9
grafana9
blockchain9
composable9
go9
prometheus9
logrus9
influxdb9
Programming languages (5)
Github contributions (5)
Chanryma/Demo
Jul 2017 - Oct 2019
Demos.
Contributions:6 PRs, 10 pushes, 2 branches in 2 years 3 months
react
Chanryma/OOC-CN
Sep 2017 - Dec 2018
Contributions:15 commits, 9 pushes, 1 branch in 1 year 2 months
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