Yayu Ni
Chief Technology Officer at Shenzhen Suanzi Technology
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolYayu Ni is a CTO with a PhD in Automation from Tsinghua and over a decade of experience building large-scale, production AI and data systems across industry and research labs. He has led engineering at Shenzhen Suanzi to deploy a highly parallel human detection and tracking framework operating across 100+ cameras with ~90% accuracy, and previously improved noisy brand-labeling accuracy by ~50% at Alibaba through applied ML. Comfortable across Python, PHP, C++, Java and Hadoop, he pairs rigorous research methods with pragmatic system engineering—optimizing iterative algorithms into single-pass Hadoop jobs that cut runtime by ~70%. Based in Haidian, Beijing, he combines academic depth from Microsoft Research Asia and IBM collaborations with hands-on product delivery in advertising and security domains. Notably, his track record shows a pattern of turning data- and compute-intensive research prototypes into scalable, production-grade services.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Automation, GPA 3.4, Doctor of Philosophy (PhD), Automation, GPA 3.4 at 清华大学
Github Skills (7)
face-detection10
qt10
face-recognition10
counting9
cmake9
machine-learning3
neural-network3
Programming languages (1)
Github contributions (5)
suanzi-ai/QtFaceRecognitionTerminal
Jul 2020 - Jan 2021
人脸识别终端（Qt版本）
Contributions:336 commits, 1 PR, 96 pushes in 6 months
face-recognitionface-detectionqtface-termiancmake
YayuNi/XMatrix
Apr 2016 - Apr 2016
Contributions:10 pushes, 1 branch in 14 days
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