Summary
Hyunwoo Kim is an AI Solution Architect based in Japan with 8 years of experience turning complex business problems into pragmatic, deployable AI and data engineering solutions. He combines rigorous applied data science (MADS, Univ. of Michigan, 3.98/4.0) with hands‑on delivery experience across enterprise compliance, automotive systems, and product prototyping. At GAFS and on secondment to Toyota, he operates like a forward‑deployed engineer—detecting domain‑specific efficiency opportunities, designing bespoke AI systems, and implementing them on site. His track record includes securing six‑figure enterprise deals, building audit‑ready ETL and QA pipelines at Dow Jones, and delivering ML solutions from cybersecurity to recruitment ranking. Multilingual and experienced in cross-cultural hiring and training programs, he also contributes to AI accessibility initiatives for the Global South. He’s known for uncovering hidden stakeholder needs and prioritizing high-impact, resource‑efficient automation that teams can adopt and iterate quickly.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Chinese (BA), Business Administration (BAA), 4.0/4.5, Bachelor's degree, Chinese (BA), Business Administration (BAA), 4.0/4.5 at Hankuk University of Foreign Studies
Language courses, English, Language courses, English at EF International Language Campuses
Master's degree, Applied Data Science (MADS), 3.98/4.0, Master's degree, Applied Data Science (MADS), 3.98/4.0 at University of Michigan - School of Information
Student exchange, Chinese, Student exchange, Chinese at Dalian University of Foreign Languages
Korean, English, Chinese, Japanese