Qinzhe Yang
Student
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolQinzhe Yang is a software engineer and graduate student with eight years of practical experience building backend and full-stack systems, currently studying Statistical Science at Duke and pursuing 2024 SDE/SWE roles. He has delivered cloud-native features at Alibaba Cloud—optimizing multi-zone VPC connections and implementing resource-level access tags—and helped launch an A/B testing platform at Transsion that ran 100+ experiments. His research background includes applying deep learning (UNet/DenseUNet with semi-supervised learning) to medical image segmentation, raising accuracy from 72% to 84% and moving models toward clinical use. Comfortable across Java, Spring, Kubernetes, Python/PyTorch, and frontend stacks (Vue/HTML/CSS), he combines systems engineering with data-focused modeling. Notably, he pairs production-facing platform work with teaching and mentoring experience, having led labs and recitations for large undergraduate courses.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science in Engineering, Electrical and Computer Engineering, Bachelor of Science in Engineering, Electrical and Computer Engineering at UM-SJTU Joint Institute, Shanghai Jiao Tong UniversityMaster of Science - MS, Mobile and Internet-of-Things Engineering, Master of Science - MS, Mobile and Internet-of-Things Engineering at Carnegie Mellon UniversityBachelor of Science in Engineering, Electrical and Computer Engineering, Bachelor of Science in Engineering, Electrical and Computer Engineering at Shanghai Jiao Tong UniversityGithub contributions (5)
wangqinz/wangqinz.github.io
Aug 2020 - Sep 2021
Contributions:35 commits, 21 pushes, 1 branch in 1 year
wangqinz/EconomicMobility
May 2018 - Sep 2021
Contributions:5 pushes in 3 years 4 months
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