Haoxiang Zhang is a senior quality specialist with two decades of experience in software automation and testing, currently leading infotainment test strategy and automation at General Motors from Richmond Hill, Ontario. He has a proven track record building scalable test platforms—such as a Device Controller adopted by 400+ engineers, the Baymax Python automation framework, and AI-driven systems Nexa and Scoutron—that cut hardware costs and accelerated testing efficiency. His background spans semiconductor and mobile platforms at Qualcomm, Marvell, Intel, and consumer apps at iQIYI, blending hands-on automation engineering with team and process leadership. Notably, he has applied deep learning, computer vision and LLMs to generate UI test cases and automate image evaluation, turning research prototypes into production tools. With a Master’s in Computer Science from Xi’an Jiaotong University and a history of leading cross-functional automation task forces, he excels at translating cutting-edge AI techniques into pragmatic QA solutions.
6 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Xi'an Jiaotong University
Master's degree, Computer Science and Technology, Master's degree, Computer Science and Technology at 西安交通大学
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributions:5 reviews, 2 PRs, 93 pushes in 4 years 3 months
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Haoxiang Zhang - Sr Quality Specialist at General Motors