Sho Kumada

Background

About Sho Kumada

Note: If you are short on time, please see my resume below.Experienced semiconductor production engineer with a strong background in electrical industry and a passion for leveraging artificial intelligence to improve production efficiency. I have studied machine learning and statistics and currently work as an IT consultant and AI engineer. I am skilled in Generative AI, statistical analysis, Python, and materials science.I spent 10 years in power semiconductor R&D and production, handling tasks from basic research to mass production. I achieved significant cost reductions by lowering defect rates and devising a new inspection method using 3D shape data. At 34, I transitioned to a career in data science, focusing on equipment failure analysis and developing recommendation and predictive maintenance systems.After earning a master’s degree in Materials Physics from Tokyo Institute of Technology, I joined Mitsubishi Electric, engaging in SiC power semiconductor R&D and yield improvement. Later, at FLOSFIA, I worked on production technology for gallium oxide semiconductors. Recognizing the potential of data science in manufacturing, I joined Technopro to gain hands-on experience, supporting clients with data-driven solutions.Seeking greater responsibility, I moved to Aisin Corporation to lead AI projects for smart factory initiatives, including AI algorithm development and system implementation. Inspired by the potential of generative AI, I joined Avanade Japan, where I now develop AI systems for major clients. My work includes RAG PoC projects, generative AI talent development, and integrating digital twins with AI to optimize manufacturing.I aim to drive innovation in smart manufacturing by bridging my expertise in materials science, semiconductor engineering, and data science.AIITAIAIPython103D34SiCFLOSFIAAIAIAIAIRAG PoCAIAI