Summary
Ray Lee is a backend software engineer with 11 years of experience building production AI systems and real-time recommendation engines, currently focused on backend work at 헤이딜러 (PRND). He previously led machine learning engineering at HYPERCONNECT where he shipped a real-time session-based match recommender (CUPID), an ML experimentation framework that sped up iterations 4x, and an LLM-driven chatbot game that reached 15K daily users. His background includes HCI/XR research at Seoul National University, where he integrated SOTA perception models into mobile MR experiences and developed 3D mesh overlay visualizations to preserve immersion. Ray holds a Master's in Computer Science from Seoul National University and pairs academic research with product-facing engineering, including published papers and multiple patents around conversational agents and low-latency recommendation. He also co-founded a tech DIY YouTube channel that gained 10K+ subscribers and collaborated with major brands, reflecting a knack for creative engineering and audience-facing projects. Colleagues describe him as a pragmatic builder who turns cutting-edge ML research into scalable, user-facing systems.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at 서울대학교 (Seoul National University)