Summary
Seongmin Lee is a PhD candidate in Computer Science at Georgia Tech and a research-focused machine learning engineer with six years of experience bridging academic research and industry internships. He has worked on applied ML and data mining across labs at Seoul National University, a PhD internship at Cisco, a summer research role at JPMorgan Chase, and a short-term ML research stint at Adobe. Guided by advisors like Duen Horng (Polo) Chau and U Kang, he combines deep academic rigor with hands-on engineering to prototype measurable research systems. Comfortable moving between research code and production environments, he’s fluent in building experimental pipelines and instrumentation—skills honed from a diversity of international research programs, including a microscopy-focused summer project at the University of Tokyo.
6 years of coding experience