Summary
Keonhoon Lee is an AI engineer based in Seoul with nine years of experience building ML models for security, education, finance, and environmental domains. He has moved models from research to applied projects—developing anomaly detection for government networks, learner knowledge and question recommendation systems for education clients, and suspicious transaction models for banking—using Python, TensorFlow/Keras, and scikit-learn. With a master's in computer science and a background in academic research, he combines hands-on data analysis and forecasting (e.g., air pollution and demand prediction) with practical system implementation experience. His strengths include translating noisy log and time-series data into production-ready AI components and adapting models across highly regulated domains. Colleagues would note his focus on domain-driven modeling and repeatable ML workflows rather than purely experimental research.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Seoul Hoseo Technical College
Daeil Highschool
Master's degree, Computer Science, Master's degree, Computer Science at 세종대학교