Qing Wang is a Senior Test Engineer with nine years of end-to-end QA and automation experience across flagship technology companies including Google and Amazon, and domain leaders like Bruker and Huawei. She has led test engineering teams and built robust automation frameworks—creating Selenium/Python suites, Azure pipelines, and Allure reporting—while driving performance and API testing at scale. Qing combines hands-on scripting and CI/CD integration with strong defect root-cause analysis and cross-functional collaboration to accelerate delivery cycles. Based in Mountain View, she brings a pragmatic blend of enterprise and product-focused testing, having repeatedly turned manual test cases into reliable automated pipelines. An uncommon strength is her proven track record of implementing automation across the full lifecycle, not just individual test suites, ensuring long-term maintainability and measurable impact.
9 years of coding experience
16 years of employment as a software developer
Bachelor's degree, Management Information Systems, Bachelor's degree, Management Information Systems at City, University of London
A python library that accompany the text on Nodal Discontinuous Galerkin methods by Jan S. Hesthaven and Tim Warburton.
Contributions:46 PRs, 48 pushes, 4 branches in 2 months
python-librarypythonnodaljangalerkin
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