Gyumin Choi is a Solution Engineer based in Seoul with 11 years of experience building data-driven products and applied AI systems across startups and enterprises. He blends hands-on engineering—designing end-to-end data pipelines, DBT marts, recommendation engines (lightGCN), and production APIs—with product-focused roles as CTO and technical advisor. His background spans medical AI research (95%+ diagnostic modules), large-scale distributed data processing on Spark/Kubernetes, and pragmatic backend work in NestJS and GraphQL. Currently at Snowflake after recent data engineering roles, he’s known for solving cold-start recommendation problems and operationalizing ML in constrained environments. An indie hacker and frontend-minded developer, he pairs a statistics + CS education from Seoul National University with a knack for turning research prototypes into scalable, production systems.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Statistics / Computer Science, Bachelor's degree Statistics / Computer Science at Seoul National University
Contributions:309 commits, 300 pushes, 5 branches in 3 years 8 months
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