Zhengming Zhang is an autonomous driving perception algorithm engineer with eight years of experience, currently leading BEV perception development at Zeekr. He has a proven track record deploying parking slot detection and road segmentation pipelines on embedded platforms (including TDA4 and Huawei MDC) and integrating perception with sensor fusion and control systems. Previously at SenseTime he combined hands-on algorithm development with AI education outreach—mentoring students to international competition wins and contributing to Shanghai AI textbooks and challenge judging. Technically fluent in deep learning, C++, Python and ROS, he focuses on production-ready perception that meets automotive constraints. Outside work he pursues high-performance sports and underwater photography—an AOW scuba diver and national-level speed skater—bringing disciplined, field-tested problem solving to engineering challenges.
Contributions:10 commits, 9 pushes, 1 branch in 6 months
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