Oversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement. Lead a team of computer vision and perception engineers to develop and refine the system in a hands-on manner. Spearhead the development of robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification. Champion the development and training of deep learning models for complex urban scene perception and real-time analysis. Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models. Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system. Foster automation in the improvement cycles of deep learning models used within the perception system. Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements. Utilize data visualization tools to present complex information clearly for informed decision-making.

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