Kun Yang
算法工程师 at 依图科技
Yangpu District, Shanghai, China
Summary
👤
Senior🎓
Top SchoolKun Yang is an algorithm engineer with nine years of experience applying statistical rigor and practical engineering to machine learning and data analytics. Trained at Tongji University (BS and MS in Statistics), he has held roles from data analyst at Ping An to algorithm engineer at JD and currently at Yitu Technology, where he builds and deploys computer vision models and automation pipelines. His JD internship work combined PyTorch-based ResNets and Faster R-CNN–style detectors with data augmentation and transfer learning to achieve >95% recognition on key targets and ~78% mAP on detection, and he automated model retraining from Hive pipelines. Comfortable coding in Java and Android development as well as Python for ML, he bridges research-minded statistical modeling with production engineering. Based in Yangpu, Shanghai, he prefers hands-on model implementation and operationalization, often focusing on pragmatic solutions that cut manual effort.
9 years of coding experience
理科学士, Statistics, 理科学士, Statistics at Tongji University硕士, Statistics, 硕士, Statistics at 同济大学
Github Skills (8)
sqlite-extension9
sqlite6
pmml3
scoring2
machine-learning1
ai1
ml1
scala1
Programming languages (2)
Github contributions (5)
okunu/DataStructure
Feb 2017 - Nov 2018
Contributions:11 commits, 27 pushes, 1 branch in 1 year 9 months
okunu/DemoApp
Feb 2017 - Oct 2018
Contributions:6 commits, 10 pushes, 1 branch in 1 year 7 months
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