Chengcheng Ji is a Staff Data Scientist based in Shanghai with nine years of experience building machine learning systems for e-commerce and platform operations. He has driven production ML and algorithm design across companies like CooTek, Farfetch, Pinduoduo and Dada‑JD Daojia, covering user‑generated content understanding, dispatch optimization, feature engineering and model deployment. Trained in materials science at Cornell and Tsinghua, he brings an experimental, measurement‑driven mindset to ML problems and a taste for elegant, maintainable code. Known as a fast learner and self‑motivated engineer, he pairs data analysis with practical annotation and data‑flow design to turn noisy product signals into reliable models.
9 years of coding experience
6 years of employment as a software developer
Master of Engineering (MEng) Material Science and Engineering, Master of Engineering (MEng) Material Science and Engineering at Cornell University
Bachelor's degree Polymer Material and Engineering, Bachelor's degree Polymer Material and Engineering at Tsinghua University
Contributions:7 PRs, 38 pushes, 5 branches in 1 year 3 months
object-orientedobject-oriented-programmingcpp
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