- Published on
A deep dive into the $250K GS E&C deal win against Databricks and how demonstrating rapid value through technical proof is the ultimate differentiator.
Impact Highlights
Measurable outcomes from production AI engineering and technical leadership.
40%
LLM Automation
Reduced operational overhead through Claude-powered workflow automation and AI-assisted documentation.
40%
Customer Growth
Scaled enterprise customer base at Greybox through technical advisory and custom evaluation frameworks.
50M+
Rows / Day
Engineered distributed data processing on Spark/Kubernetes at Class101, handling 50M+ daily transactions.
$20M
Series A
Led technical strategy as CTO, securing $20M in funding by building high-performance recommendation engines (LightGCN, ALS).
Technical Expertise
From LLM deployment to data architecture — the full applied AI stack.
Applied AI & LLMs
Prompt engineering, agent development, RAG pipelines, LLM evaluation frameworks, and Claude API integration in production environments.
Data & Infrastructure
End-to-end data pipelines (dbt, Spark, Kinesis), multi-cloud architecture (GCP, AWS), and scalable infrastructure on Kubernetes.
Technical Leadership
Ex-CTO experience, enterprise technical advisory, developer workshops, and cross-functional stakeholder alignment. Bilingual in Korean and English.
Latest Writing
Thoughts on AI engineering, data architecture, and building with LLMs.
- Published on
How to build a conversational AI analyst that actually understands your business terminology using Snowflake Cortex Analyst and Intelligence Agents- Published on
As AI transforms how we use data, governance must evolve - but the fundamentals remain critical- Published on
How migrating from legacy SAP architectures to a modern data stack unblocks enterprise AI and drives measurable business ROI.- Published on
How enterprises can achieve cloud flexibility without falling into the data copy trap
Selected Projects
Production AI systems and technical work that drove real outcomes.
Publications
Technical guides on full-stack engineering and recommendation systems.
Build Your Own Netflix
A full-stack guide to movie recommendation systems, published on Amazon.
View on Amazon →나 혼자 만든다! 풀스택
Published by BJ Public, covering end-to-end web service development with a recommendation system.
View on BJ Public →