Agent Architecture & Consulting_
We build multi-agent systems that run enterprises.
200+ agents. 6 knowledge graphs. 8 production projects.
// services
From a single chatbot to a full enterprise agent ecosystem. Pick the scope that fits — we handle the rest.
1 ~ 2 weeks
Single AI agent or chatbot with RAG pipeline. Perfect for automating one workflow or building an intelligent assistant.
4 ~ 8 weeks
Multi-agent orchestration with knowledge graph integration. For teams that need agents that collaborate and reason.
8 ~ 16 weeks
Full enterprise AI infrastructure. Multiple agent teams, system integration, CI/CD, and production hardening.
Ongoing
Continuous AI system maintenance, optimization, and evolution. Keep your agents sharp and your costs down.
// case_studies
Real systems in production. Not demos, not prototypes.
Plugin-style installer for 200+ agents across 8 projects
Built a unified agent management hub inspired by DGM-H (HyperAgents). Profile-based installer deploys agent systems to any project in one command. Integrates RTK (60-90% token savings), Slack MCP, Obsidian CLI, Codex Plugin, and Google Stitch. DGM-style archive tracks agent performance for cross-project transfer learning.
Full-company AI for an agricultural tech startup
Designed and built a 47-agent system spanning 9 departments — strategy, legal, finance, tax, production, R&D, marketing, sales, facility. CEO orchestrator routes to Directors, who delegate to sub-agents. RALPH loops enforce quality with Worker → Reviewer → SHIP/REVISE cycles. 4 LLM tiers minimize cost.
AI-powered crop market & weather intelligence
Full-stack agricultural intelligence platform combining real-time crop price data, weather forecasting, and market analysis. Agent-driven data pipeline ingests government agricultural data sources, processes with LLM intelligence layers, and delivers actionable farm-business insights.
Dual Neo4j knowledge graphs powering Threads AI channels
Two production Threads channels (@fridgey_raid, @pourandpair) powered by Neo4j knowledge graphs and multi-agent content pipelines. Strategist → Writer → Editor agent chain generates confidence-tiered food/beverage intelligence. Crawlers ingest KAMIS wholesale prices, weather, and aT distribution data daily.
Full-stack SaaS from zero to production in a weekend
Shipped a live product in 2 days: 1,000+ ingredients, 3,005 substitutes, 10 languages, zero server cost. React + TypeScript + Fuse.js on Cloudflare Pages. MildoCTA integration drives brand awareness for the farm startup. SEO-optimized with affiliate monetization roadmap.
// tech_stack
// team
2025 ~ Present
Building legal AI agent systems. End-to-end ownership of ML infrastructure, from data pipelines to production deployment.
2021 ~ 2024
Delivered AI and cybersecurity solutions for enterprise clients. Bridged the gap between security operations and machine learning.
2011 ~ 2021
Led data-driven criminal intelligence operations. Built analytical frameworks for complex investigations across financial crime and cybercrime.
Georgia Institute of Technology
MS Analytics
Korea University
BS Statistics
Korean National Police Academy
BA Law
// contact
Book a free 15-minute consultation. We'll assess your use case and recommend the right architecture — no strings attached.