YUN-DE LIU

I am a Master’s student in Computer Science and Engineering at the University of Michigan (2025–2027), with a B.S. in Information Management and Finance from NYCU (top 3 in department). My background spans AI model development, full-stack engineering, research and application in generative AI, and recommendation systems.

I thrive on the satisfaction of turning ideas into real products through code. Previously, I completed full-stack training at AppWorks School (now Aiworks), where I built and deployed scalable applications using Node.js, Next.js, Docker, and AWS, and collaborated with cross-functional teams in Agile sprints. At Pegatron Corporation, I gained hands-on experience applying AI to smart manufacturing, human–robot collaboration and LLM/VLM training, while my academic projects explored creative generative AI applications and the fairness of federated systems.

I am eager to push the boundaries of AI research and real-world applications, with a strong interest in generative AI and its potential across various domains.

I thrive on the satisfaction of turning ideas into real products through code. Previously, I completed full-stack training at AppWorks School (now Aiworks), where I built and deployed scalable applications using Node.js, Next.js, Docker, and AWS, and collaborated with cross-functional teams in Agile sprints. At Pegatron Corporation, I gained hands-on experience applying AI to smart manufacturing, human–robot collaboration and LLM/VLM training, while my academic projects explored creative generative AI applications and the fairness of federated systems.
 

I am a Master’s student in Computer Science and Engineering at the University of Michigan (2025–2027), with a B.S. in Information Management and Finance from NYCU (top 3 in department). My background spans AI model development, full-stack engineering, research and application in generative AI, and recommendation systems.