Summary
Sean Moon is a Data Engineer with 10 years of experience building production ML and data platforms across cloud-native stacks. Currently at ZIGBANG, he designs and operates ML, object-detection, and ETL pipelines using AWS, KubeFlow, Spark, Airflow, and Kubernetes, and deploys models with KServe and FastAPI. Previously he led R&D efforts at TmaxSoft designing data science and BI platforms and implementing deep learning engines in C++ and Python. His background spans mobile and embedded systems to large-scale MLOps, reflecting a rare blend of low-level systems coding (C/C++, Objective‑C) and modern data engineering. Holding an M.S. in Computer Software Engineering from Soongsil University, he pairs strong research instincts with pragmatic production delivery. Colleagues know him for making "code make life easier"—a hint at his focus on tooling and automation that reduces operational friction.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Computer Software Engineering, Master of Science (M.S.), Computer Software Engineering at Soongsil University
English, Korean