About Me

What I Do

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I build AI that acts, not just talks. Agents that reason, use tools, complete real tasks, and work autonomously — not just chatbots with a nice UI.

At KBC, that means production-grade agentic systems for document processing, knowledge retrieval, and banking workflows. On the side, I’m building Luminar — a multi-merchant commerce platform that implements the full agentic protocol stack.

flowchart LR
    A[🧠 Foundation Models] --> B[🦾 Agent Orchestration]
    B --> C[🔧 Tool Use & Memory]
    C --> D[✅ Real Tasks Done]
    style D fill:#10b981,color:#fff

Current Focus

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• Agentic Architecture — Specialist agent teams, tool orchestration, long-term memory (Neo4j KG + vector store)
• Agentic Protocols — UCP, ACP, A2A, MCP, AG-UI, TAP — building platforms that implement them, not just use them
• AgentOps — Evaluation frameworks, observability (OTel), and production guardrails
• LLM Infrastructure — AWS Bedrock, multi-model routing, cost tracking, evals

Technical Stack

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Agent Frameworks & LLM

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LangGraph Pydantic AI AWS Bedrock Claude OpenClaw

Backend & Data

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FastAPI Python PostgreSQL Neo4j ChromaDB

Frontend & DevOps

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Next.js Docker AWS GitHub Actions

Payments & Commerce

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Stripe Connect UCP ACP A2A

Background

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Luminar

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A multi-merchant commerce platform built for the agentic web. Merchants connect and list their catalog. AI agents — from ChatGPT to custom bots — discover products, negotiate offers, and complete checkout using open protocols (UCP, ACP, A2A, MCP, TAP, AP2).

The interesting part: the platform is being built by a team of 9 AI agents — Forge (architect), Bolt (backend), Wire (frontend), Sage (AI/LLM), Drift (DevOps), and four others — dispatched automatically from a Linear webhook when issues are labeled.

Writing

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I write about agent architecture, production AI systems, and the emerging protocol stack:

• 27 AI Engineering Patterns in 60 Seconds Each — the full series index with links to all 27 episodes
• AI Agent Protocols in 60 Seconds — MCP, A2A, UCP, AG-UI, ACP as Shorts
• Building an AI with Persistent Identity — Neo4j + ChromaDB memory architecture
• Multi-Agent Startup: 9 Agents Building Luminar
• Knowledge Graph Memory for AI Agents
• Agentic Frameworks Deep Dive — pi-agent-core vs ADK vs Strands vs LangGraph
• Agentic Protocols: MCP, A2A, AG-UI, UCP
• Inside OpenClaw: Architecture Deep Dive
• YouTube Channel for $0: Manim + TTS + FFmpeg

AI Engineering Patterns — YouTube

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I run @DPO-AI, a YouTube Shorts channel publishing one production AI engineering pattern per week. 27 episodes live. Each Short is 60–70 seconds covering a real pattern — the problem it solves, how it works, and the implementation.

Recent episodes: Hybrid Search (BM25 + vectors + RRF), Agentic RAG, Self-RAG, Corrective RAG (CRAG), Multi-Agent Orchestration, LLM-as-Judge, Context Distillation.

The full pipeline is automated — Remotion animations, Google Chirp3-HD TTS, Whisper subtitles, background music, and YouTube Data API upload. All from a home server with an RTX 2080 Ti.

Let’s Connect

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