Summary
Yeongmin Cha is a senior software engineer with 11 years of experience building end-to-end ML systems, full-stack applications, and firmware across finance, adtech, and education. He has designed and deployed production ML model-serving platforms, event-driven pipeline orchestration, and recommendation systems that materially improved CTR/CVR and real-time question recommendation. Comfortable from firmware optimization to MLOps and model research, he combines algorithm engineering (Master’s) with pragmatic system architecture to ship mission-critical services at scale. He has led and organized ML teams, standardized reusable pipeline components to lower onboarding friction, and turned large, continuous data flows into production-ready features. Based in Seoul, Yeongmin bridges research-grade work (Transformer applications and CF research) with hands-on product delivery, including mobile app development and performance-tuned DVR systems earlier in his career. His profile reflects a rare full-stack ML engineer who moves models from prototype to resilient, event-driven production.
11 years of coding experience
15 years of employment as a software developer
Master's degree, Algorithm Engineering, Master's degree, Algorithm Engineering at Kookmin University