-Designed an AI system utilized for Automated Optical Inspection (AOI) in notebook inner components. -Developed an end-to-end AI ecosystem, including AI data annotation system, AI model training system, and AI model deployment system with front-end, back-end, and SQL Server integration. -Led a team of 3 code members responsible for daily maintenance tasks of the AI AOI system across 42 production lines in 5 Compal plants. -Achieved a 30% reduction in the cycle time of AI model training by optimizing the size of AI model files and incorporating broken image detection. -Engineered automated tools to replace manual AI system operations, resulting in a 70% increase in efficiency and a significant reduction in human error. -Developed 7 web APIs for PostgreSQL, cutting down the time for Non-Technical Failure (NTF) analysis by 50% and simplifying the management of the AI model tracking system. -Enhanced the AI data annotation system by implementing label hot keys for 40 customized label items, leading to a 30% improvement in labeling efficiency.