I help teams figure out where AI fits in their stack — then I build it.
RAG pipelines, agent frameworks, LLM integrations. Strategy that doesn't stop at the whiteboard.
|
Production-ready system for querying large document collections. Multi-document retrieval with citation tracking. The kind of thing that actually needs to work at scale.
|
MCP server that gives LLMs direct access to GitHub — code search, issue management, repo analysis. Built on the protocol, not around it.
|
|
Framework for coordinating specialized AI agents across complex workflows — communication protocols, task delegation, result aggregation, agent state via Redis.
|
AI-powered equity research terminal for the Nigerian Exchange (NGX). Automates financial statement extraction from company filings with stock screeners and verified AI analysis.
|
AI / ML
Backend
Infra
I write about AI strategy, LLM applications, and engineering at linkedin.com/in/sirematrix
AI adoption for engineering teams · RAG system design patterns · building reliable agent systems
