Summary
Jun Chang is a Senior Product Development Engineer at AMD based in Singapore with a decade of experience applying AI and data science to semiconductor product and yield optimization. Leveraging an SUTD BE in Computer Science (Magna cum Laude) and a PhD candidature in Artificial Intelligence at NTU through AMD’s Industrial Postgraduate Programme, he bridges academic research with production engineering. At AMD he progressed from co-op to senior roles, building Python ML pipelines that automate yield analysis and accelerate manufacturing decisions. Comfortable moving models from prototyping to deployment, he focuses on practical, data-driven solutions that reduce cycle time and uncover subtle failure modes. An early interest in music study at UC Berkeley hints at a creative, cross-disciplinary approach to problem solving.
10 years of coding experience
6 years of employment as a software developer
Summer School, Music, Summer School, Music at University of California, Berkeley
Bachelor of Engineering - BE, Computer Science, Magna cum Laude, Bachelor of Engineering - BE, Computer Science, Magna cum Laude at Singapore University of Technology and Design (SUTD)
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Nanyang Technological University