Summary
Hyobin Kang is a senior semiconductor software engineer with nine years of experience building production systems and leading AI/optimization initiatives at Samsung. He has delivered end-to-end solutions from low-level real-time C/C++ control systems for etch tools to enterprise-scale productivity analytics (SQL, WPF) and on-premise generative AI planning for fabs. Notably, he led a company-backed internal venture that combined DQN and MCTS with Python Ray to optimize equipment scheduling, demonstrating a blend of research-grade RL and pragmatic distributed engineering. Hyobin’s background spans equipment lifecycle management, global log standardization for 11,000+ tools, and sensor-driven demo apps for wearable platforms, reflecting strong cross-domain systems thinking. Based in South Korea with an electronics engineering degree from Chungbuk National University, he excels at turning complex semiconductor problems into deployable, measurable systems.
9 years of coding experience
학사, 전자공학, 학사, 전자공학 at 충북대학교