Summary
Donghwan K is a Senior Data Scientist based in San Jose with over nine years applying machine learning and advanced analytics to manufacturing and industrial systems. He specializes in time-series anomaly detection, predictive maintenance, and deep learning, and has a proven track record reducing false alarms by 70%+ and improving operational efficiency by double-digit percentages. Donghwan architects production ML and RAG-based systems that turn large-scale engineering documents and sensor streams into real-time decision support, including an LLM-powered assistant and a multi-agent document analyzer that cut manual review by ~90%. He combines academic rigor from a PhD in Industrial Management Engineering with hands-on leadership—mentoring teams, teaching data science to hundreds of learners, and collaborating with UC Berkeley on applied research. Notably, his work spans both algorithmic innovation (unsupervised monitoring, root-cause analysis) and production-grade ML pipelines that scale across complex equipment fleets.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Industrial Management Engineering, Doctor of Philosophy - PhD, Industrial Management Engineering at Korea University
Bachelor's degree, Interdisciplinary Studies & Industrial Engineering, Bachelor's degree, Interdisciplinary Studies & Industrial Engineering at Konkuk University
English, Japanese, Korean