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 more than 20 years, I've designed and built software systems for the automotive and industrial sectors, where reliability, maintainability, and production-grade engineering are non-negotiable. Today, I apply the 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 →Multi-stage retrieval systems: hybrid search, RRF fusion, cross-encoder reranking, multi-hop retrieval.
Production-grade agent orchestration with LangGraph, CrewAI, MCP, explicit state management.
I can also teach your team — my knowledge goes deeper than just calling an API.