Kuang-Ming Chen
AI Researcher @ TSMC San Jose | VLM/LLM Post-training, Business AI, Agentic AI, Reinforcement Learning, Chatbot Design, Document Understanding, 3D Scene Understanding
- Role
- Ai Research Engineer at 台積電
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Kuang-Ming Chen
Received a Master’s degree at the University of Washington, I specialize in Agentic AI development with expertise in generative AI and Vision-Language Models (VLMs). Currently working as an AI Research Engineer at TSMC San Jose, I engage the R&D of GenAI solutions for semiconductor business intelligence, focusing on complex document reasoning and developing cutting-edge AI systems for multi-modal document understanding. At TSMC, my work includes architecting Enterprise Agentic AI systems and optimizing pipelines for improved efficiency, contributing to innovative solutions in the semiconductor space. With a background in AI and engineering, I aim to bring collaborative problem-solving, technical precision, and a commitment to advancing scalable AI applications to teams that value innovation and impact.
Experience
Ai Research Engineer
Jan 2026 — Present · 聖荷西, CA, US
Led the R&D of GenAI solutions for semiconductor business intelligence, focusing on complex document reasoning. • Architected a robust Enterprise Agentic AI system, integrating LLMs and Document VLMs for automating operations. • Developed state-of-the-art Vision-Language Models to enhance multi-modal understanding of structured documents.• Engineered a lightweight figure classification layer to intelligently filter high-value visuals (e.g, charts vs. icons). This pipeline optimization reduced VLM overhead and boosted end-to-end efficiency by 50%.
Education
University of Washington
Master of Science, Electrical Computer Engineering
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