Jingzhe Tang is a backend engineer with 12 years of experience, currently focusing on unifying distributed computing and storage for machine learning systems at ByteDance. He combines production-grade backend engineering with deep ML systems knowledge, having previously worked on face detection research at SenseTime. A retired ICPC competitor, Jingzhe remains active in the competitive programming community as a problem setter and lecturer, reflecting strong algorithmic rigor and a talent for teaching complex concepts. Based in Haidian, Beijing, he holds a BEng in Computer Science from Beihang University with a strong academic record. Colleagues appreciate that he brings both research-minded precision and practical system-building instincts to large-scale ML infrastructure. Outside work, his competitive programming pedigree and public profiles hint at a persistent curiosity that informs his engineering craft.
12 years of coding experience
Bachelor's degree of Engineering, Computer Science & Engineering, 3.59/4.00 (overall 3.45), Bachelor's degree of Engineering, Computer Science & Engineering, 3.59/4.00 (overall 3.45) at Beihang University
Contributions:102 commits, 60 pushes, 1 branch in 4 years
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