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 →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.