Summary
Sanghoon Park is a pragmatic technology leader and Head of Engineering & Acting CTO with 11 years of experience building cloud-native, data-intensive platforms and consumer-facing AI systems. He currently drives platform, data, and AI strategy at Cupist, architecting production LLM systems and an AI character recommender aimed at North American female users while balancing cost, latency, and output quality. Previously at SK Telecom he designed large-scale ETL, Lakehouse and CUR pipelines that served 1,500+ enterprise customers and led cloud modernization efforts across Aurora, Redshift, Glue and Athena. Sanghoon combines deep DBA and performance-tuning expertise with hands-on DataOps and microservices experience (FastAPI, Kubernetes, NoSQL), enabling reliable migrations from legacy systems to scalable cloud architectures. He’s notable for converting expensive AI usage patterns into cost-efficient deployments (e.g., migrating from direct Claude usage to Amazon Bedrock) without sacrificing production SLAs. Based in Seoul, he pairs strong technical execution with clear business alignment and a penchant for pragmatic, measurable optimizations.
11 years of coding experience
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at 서강대학교
기타 Seoul National University’s Machine Learning Engineering Course, 기타 Seoul National University’s Machine Learning Engineering Course at Seoul National University