I build production systems using AI as an engineering partner — security automation, ML pipelines, and privacy-first infrastructure designed to run on hardware you control.
Right now I'm building a multi-track CompTIA exam prep platform with an AI generation pipeline, a Bluetooth security suite for professional auditing and counter-surveillance, and a real-time ML pipeline that monitors live audio and extracts structured data unattended. I'm also thinking about how small businesses can run their own RAG and agentic workflows on their own infrastructure instead of handing every token to a cloud provider.
Remote-first, based in Toronto. Available through ADH Digital.
The projects, the architecture decisions, and the production results. What I've shipped and what I'm building now.
Six principles for working with AI as an engineering partner. None of them are about prompt engineering.
How I got here, where this is heading, and why the background matters.