Zihang Yao
C Developer Intern at Optiver
Minhang District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolZihang Yao is a C/C++ developer with nine years of engineering experience, currently interning as a C++ Developer at Optiver in Shanghai. He has a strong research background from Alibaba DAMO Academy and practical finance-tech exposure from Morgan Stanley, blending systems-level coding with applied research. An active backend contributor to the OneFlow deep learning framework, he implemented tensor operations like Tensor.view_as and Tensor.new_empty, showing deep familiarity with memory allocation and framework internals. His work emphasizes code quality, testing, and documentation, reflecting an engineer who ships reliable, maintainable features. Trained in software engineering at Shanghai Jiao Tong University, he brings both academic rigor and hands-on production experience to high-performance and ML-related systems. Notably, his contributions reveal an uncommon comfort navigating complex tensor internals—a useful bridge between research prototypes and production-grade C++ systems.
9 years of coding experience
学士, 软件工程, 学士, 软件工程 at 上海交通大学
Github Skills (11)
unit-testing10
tensor10
deep-learning10
tensorflow10
python10
neural-network9
machine-learning9
cuda8
cprogramming-language7
distributed-systems7
c-language7
Programming languages (6)
Github contributions (5)
Oneflow-Inc/oneflow
Apr 2022 - Jul 2022
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:128 reviews, 48 commits, 29 PRs in 2 months
Contributions summary:Zihang contributed to the implementation of new methods, specifically `Tensor.view_as` and `Tensor.new_empty`, within the deep learning framework. They modified existing code, including test files and core module files related to tensor operations and memory allocation, to support these new features. Furthermore, the user addressed documentation and formatting issues, demonstrating a focus on code quality and usability. Several commits also show a deep understanding of the framework's internal workings and the testing process.
caffe2tensorflowframework-learningchainerdeep-learning-framework
SE-Summer-Program/summer-project-mobile
Apr 2018 - Sep 2018
Android APP for summer project
Contributions:1 release, 4 PRs, 43 pushes in 4 months
androidandroid-appkotlinsummer-projectsummer
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