Writing code is the baseline. The real value lies in seeing the system as a living organism—optimizing for liquidity, scalability, and tangible business velocity.
In an era where AI writes code, an engineer's value shifts from execution to architecture. I specialize in full-stack development built on scalable serverless infrastructure—keeping overhead low while maximizing business impact.
Turn fragmented enterprise data into a living knowledge asset.

A smart parenting app that combines daily logs, AI analysis, local play maps, and community support

Event-driven serverless system for large-scale genomic data processing

AI-powered EMR system for Korean medicine clinics

As AI agents become better at using tools, the bottleneck shifts from model quality to permission design. This post lays out a least-privilege operating model for MCP-based tool use.
A practical explanation of vector databases, how they differ from traditional databases, and why they matter for AI search, RAG, and recommendation systems.
A technical explanation of how vector databases store embeddings, search them with ANN, and match results back to original documents.