I build the systems that run in the background so people don't have to. My work sits at the intersection of automation and applied AI — n8n workflows that replace hours of manual work, and AI pipelines that turn unstructured audio and text into structured, usable output.
I care less about the flashiest model and more about whether the system actually holds up in production: does it fail gracefully, does it scale, does it save real time. If you have a process that eats up hours every week, that's usually a sign it can be automated — and that's the kind of problem I like solving.