Yinggang Wang
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolYinggang Wang is an experienced commercial leader with 8+ years driving marketing, product and new business development across nutrition and pharmaceutical industries, most recently at Danone Nutricia and now with Antai Bio and a consultancy she founded. She blends strategic brand and portfolio management with hands-on launch execution—spanning infant nutrition, aging FSMPs and women’s health—while leading cross-functional sales-force and commercialization transformations. A certified facilitator and coach (Stanford Design Thinking, Design Your Life, situational leadership), she routinely focuses on people development and translating human-centered methods into business growth. Unusually for a commercial executive, she also contributes to deep learning infrastructure as a backend/ML engineer on OneFlow, reflecting a rare mix of life-science commercial expertise and technical curiosity. Based in Shanghai with an EMBA from Antai SJTU and a clinical medicine background, she combines scientific grounding with strategic and operational leadership.
7 years of coding experience
21 years of employment as a software developer
Bachelor of Medical clinical medicine, Bachelor of Medical clinical medicine at Second Military Medical UniversityEMBA 经管, EMBA 经管 at Antai College of Economics & Management, Shanghai Jiao Tong University
English, Chinese, Chinese
Github Skills (13)
tensorrt10
c-language10
tensor10
deep-learning10
tensorflow10
cprogramming-language10
back-end-development10
python10
operation10
autograd10
indexing9
machine-learning9
performance-optimization8
Programming languages (9)
Github contributions (5)
Oneflow-Inc/oneflow
Oct 2020 - Dec 2022
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:2213 reviews, 395 commits, 299 PRs in 2 years 2 months
Contributions summary:Yinggang's contributions primarily revolve around implementing and refactoring core components within the OneFlow deep learning framework. Their work focused on the creation of new tensor operations and the addition of autograd interfaces, crucial for automatic differentiation capabilities. This included significant code changes related to tensor implementation, the design and implementation of an autograd engine with stack and graph based designs, and integration of optimization algorithms. Furthermore, the user worked on several core components such as the tensor indexing and set data interfaces for lazy tensors, essential for the framework's functionality.
caffe2tensorflowframework-learningchainerdeep-learning-framework
wyg1997/DockerFiles
Oct 2019 - Aug 2022
Contributions:36 commits, 19 pushes, 1 comment in 2 years 10 months
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