Summary
Seungwon Kim is a tech lead and AI/ML engineer with 8 years of experience building large-scale simulation, optimization, and production ML systems for mission-critical airport operations. At Incheon International Airport Corporation he designed and deployed passenger flow prediction and discrete-event simulation platforms that ran full-day simulations in ~20 seconds and helped keep peak departure processing under ICAO standards during record volumes. His background in electrical infrastructure engineering and an M.S. in Computer Science from Georgia Tech underpin a rare blend of systems engineering, simulation engine design, and end-to-end production deployment. He focuses on operational AI and distributional optimization, turning predictive models into automated decision systems used across terminals 24/7. A detail that sets him apart: he replaced costly manual passenger surveys with an automated journey reconstruction and waiting-time labeling pipeline that scales continuous measurement while saving significant annual costs.
8 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor's degree, Electronic Engieering, Bachelor's degree, Electronic Engieering at Kyungpook National University
Exchange student, Exchange student at PSB Academy
Exchange student, Exchange student at TalTech – Tallinn University of Technology