Software engineer who ships AI tools that actually work
I design and ship full-stack AI platforms - from multi-tenant infrastructure
to the interfaces engineers actually want to use every day.
I'm a software engineer specialising in AI platform engineering, with a focus on multi-tenant systems that let teams move fast without stepping on each other. I've built and operated production platforms that combine large-language-model orchestration, workflow automation, and real-time task management into cohesive, self-improving products.
I care deeply about end-to-end ownership - from infrastructure and data pipelines to the UI the user opens in the morning. My background spans backend services in Python and FastAPI, containerised deployments with Docker and Caddy, and lightweight frontends that stay out of the way of the people using them.
Multi-service AI platform running Open WebUI, n8n, an MCP proxy, and a tasks service - all orchestrated with Docker Compose and served over a custom Caddy reverse-proxy at ai-ui.coolestdomain.win.
Visit platformA self-improving task loop that cycles through Plan → Build → Verify → Retry stages automatically. Each iteration includes a live preview so reviewers can see outcomes without digging through logs.
Snapshot/runtime/publish system that packages AI-built apps and serves each one at its own subdomain (slug.ai-ui.coolestdomain.win) - giving every project an instant public URL with zero manual deploy steps.
Open to interesting collaborations and conversations.