About
Gyumin Choi
Applied AI & Deployment Engineer
Snowflake
Applied AI & Deployment Engineer with 10+ years of experience across Seoul, Singapore, and New York. Currently a Solution Engineer at Snowflake, serving as the primary technical authority for tier-1 Korean enterprises. Former CTO of a $20M Series A startup and author of two technical books. Bilingual in Korean and English.
What I Do
I am a customer-facing engineer who takes AI from demo to production inside large organizations — owning the technical path from first conversation through pilot, rollout, enablement, and adoption.
- Enterprise Deployment & Pre-Sales: Lead all technical aspects of the customer lifecycle for tier-1 accounts — discovery, architecture design, demos, POCs, migrations, and production go-live.
- Agentic AI in Production: Build LLM agents and orchestrators on Model Context Protocol (MCP) and Python that do real engineering work inside customer codebases.
- Enablement at Scale: Deliver keynotes, deep-dive workshops, and enablement material that turn engineering teams into confident daily users of new AI tooling.
- Data Architecture: End-to-end data infrastructure across Snowflake, dbt, BigQuery, Spark, GCP, and AWS.
Key Achievements
- $250K Enterprise Win (Snowflake): Won a competitive deal against Databricks by designing and shipping an end-to-end MLflow-to-Snowflake production migration framework in a single week.
- Agentic dbt Refactor (Snowflake): Built an enterprise agentic AI framework on MCP and custom Python orchestrators, deploying autonomous coding agents that refactored 100+ complex dbt models in 6 hours.
- #1 Keynote, 400+ Executives (Snowflake World Tour Seoul): Delivered the featured AI/ML track keynote, voted the single best session of the event.
- 40% Customer Growth (Greybox): Scaled the enterprise customer base through technical advisory, a custom A/B testing module, and developer workshops.
- $20M Series A (Singapore Startup): Led a team of 7 as CTO and secured Series A funding by building high-performance recommendation engines (LightGCN, ALS).
- GenAI Media Pipeline (Momenti): Pioneered text-to-interactive-video generation using LLM orchestration, prompt engineering, and CLIP-based evaluation.
Publications
- English: Build Your Own Netflix with Python and React (Amazon)
- Korean: 나 혼자 만든다! 영화 추천 웹 서비스로 배우는 풀스택 (BJ Public)
Background
Education: Seoul National University — Statistics & Computer Science
Languages: Korean (native), English (fluent)
Skills
Claude APIPrompt EngineeringLLM EvaluationRAGGenerative AIPythonTypeScriptReactGoogle CloudAWSKubernetesDockerPostgres