AI systems architect

AI Systems Architect. 20+ Years of Production Engineering, Applied to AI.

I design production-grade LLM and agentic AI systems — not demos. System architecture first; the language model is one component, not the whole application.

For two decades, I designed and built software systems for the automotive and industrial sectors, where reliability, maintainability, and production-grade engineering are non-negotiable. Today, I apply that same engineering discipline to AI systems — designing LLMs as components within a larger architecture that includes orchestration, retrieval, inference, memory, and tool execution.

Let's talk about your AI system →
01

RAG Architecture

Multi-stage retrieval systems: hybrid search, RRF fusion, cross-encoder reranking, multi-hop retrieval.

02

Agentic AI Systems

Production-grade agent orchestration with LangGraph, CrewAI, MCP, explicit state management.

03

Team Training

I can also teach your team — my knowledge goes deeper than just calling an API.

IBM Google DeepLearning.AI