$250K
Enterprise Win
Won a competitive deal against Databricks by shipping an end-to-end MLflow-to-Snowflake migration framework in one week.
100+
dbt Models / 6 Hrs
Deployed autonomous coding agents on MCP and custom Python orchestrators to refactor 100+ complex dbt models in a single afternoon.
400+
Executives Enabled
Delivered the AI/ML keynote at Snowflake World Tour Seoul — voted the #1 session — plus deep-dive workshops for senior engineering teams.
$20M
Series A
Led technical strategy as CTO of a Singapore startup, securing $20M with high-performance recommendation engines.
Primary technical authority for tier-1 accounts — discovery, solution design, demos, POCs, competitive migrations, and production go-live. Comfortable with everyone from platform engineers to CTOs.
Production LLM agents and orchestrators on Model Context Protocol (MCP), RAG pipelines, evaluation frameworks, and prompt engineering — plus the data platforms (dbt, Spark, Snowflake, GCP, AWS) they run on.
Ex-CTO, 2× published author, and keynote speaker. I build the documentation, workshops, and enablement paths that turn a pilot into thousands of daily engineer users. Bilingual in Korean and English.
A deep dive into a $250K competitive win against Databricks at a leading Korean construction conglomerate, and how demonstrating rapid value through technical proof is the ultimate differentiator.
How to build a conversational AI analyst that actually understands your business terminology using Snowflake Cortex Analyst and Intelligence Agents
As AI transforms how we use data, governance must evolve - but the fundamentals remain critical
How migrating from legacy SAP architectures to a modern data stack unblocks enterprise AI and drives measurable business ROI.
How enterprises can achieve cloud flexibility without falling into the data copy trap
Agentic AI Deployment & $250K Competitive Win
Claude API & LLM Workflow Automation
GenAI Pipeline & LLM Orchestration
CTO Leadership & $20M Series A
40% Enterprise Customer Growth
A full-stack guide to movie recommendation systems, published on Amazon.
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