Qing Bai
Chief Engineer at Evergrande New Energy Automotive R&D Institute Global Headquarters
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolQing Bai is a seasoned chief engineer with over a decade of experience designing and delivering software-defined vehicle platforms, autonomous driving systems, and large-scale data/AI infrastructures across Fortune 500 OEMs. He has led end-to-end vehicle-field-cloud-client architectures—spanning perception, fusion, high-precision positioning, OTA, edge computing and big-data lakes—and driven multiple mass-production projects, patents and software copyrights. A proven builder of teams and processes, he scales R&D from 0-to-1, establishes coding standards and DevOps toolchains, and mentors junior engineers alongside PhD and master-level staff. His background also includes architecting UAV big-data platforms and extensive international engagements with Sony, EMC, Amazon and others, reflecting both embedded systems and cloud-native expertise. Comfortable across C/C++, Java, Scala and ML tooling, he combines deep technical ownership with pragmatic product delivery in safety- and security-sensitive domains.
11 years of coding experience
15 years of employment as a software developer
Bachelor, Inorganic Nonmetal Material, Excellent, Bachelor, Inorganic Nonmetal Material, Excellent at Harbin university of science and technologyMaster, Computer Software Engineering, Excellent, Master, Computer Software Engineering, Excellent at Northeastern University
Chinese
Github Skills (2)
tensorflow7
deep-learning7
Programming languages (1)
Github contributions (5)
adableau/ada_project
Feb 2017 - Mar 2017
Contributions:31 commits, 4 PRs, 15 pushes in 1 month
adableau/DanSentiment
Jan 2021 - May 2021
Contributions:11 commits, 1 push in 4 months
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