AI Leader

1.Technical Leadership & Architecture: Define robust system architectures for AI computer vision solutions within Linux embedded systems. Provide hands-on algorithmic support and debugging to ensure high-performance implementation.
2.Team & Project Management: Lead and mentor a multi-disciplinary team of 5+ engineers. Oversee the end-to-end project lifecycle, from strategic planning and solution design to cross-departmental coordination.
3.Advanced AI Deployment: Design and deploy multi-agent AI architectures (Computer Vision, Analytics, and Decision Agents) to optimize factory OEE (Overall Equipment Effectiveness).
4.Innovation in Inspection & Automation: Develop automated visual inspection systems and behavior detection software to ensure error-free operations and standardized cycle times.
5.LLM & Generative AI Integration: Implement LLM and RAG-based expert systems for quality control and automated eSOP generation to streamline engineering workflows.
6.Digital Twin Ecosystem: Collaborate with partners like NVIDIA (using NVIDIA AIE and Omniverse) to build Digital Twin simulations that reduce trial-and-error costs and optimize AMR pathfinding.
7.Strategic Growth & Funding: Secure public grants and government funding for large-scale intelligent upgrade projects. Act as an industry thought leader by sharing transformation strategies at industrial seminars.