AI Engineer · Agentic Systems
I ship production AI systems and share what I learn — RAG pipelines, agentic orchestration, and multi-agent workflows. Available for senior AI engineering contracts.
5+
Years Engineering
3
Production AI Systems
100+
Engineers Reached
Three perspectives on building systems that actually work in production — from architecting support triage, to fixing broken knowledge bases, to the shift from coding to specifications.
Real-world infrastructure, practical failure modes, and the patterns that keep AI reliable. No demos, no hype.
How I used Model Context Protocol to build a modular support-automation system that triages tickets, escalates urgent issues, and coordinates across platforms — and what I learned about MCP's real architectural strengths.
I've shipped the retrieval half of a knowledge system in production. Here's what I learned — and why the memory and freshness layer underneath it is the hard part everyone skips.
I spent months optimizing my AI development pipeline before realizing the bottleneck was never the pipeline. It was my specs. Here's what I built, what broke, and why I now think planning before generating is the most important thing an agentic engineer can do.