Software developer DevOps & AI agents

Product interfaces in React and Next.js with server components and server actions, and fast static sites in Astro, like this one.

Serverless Postgres on Neon with a database branch per environment, so previews and migrations never touch production data, plus Redis for sessions and caching.

Preview deploys on every push to Vercel, and containerized services on Linux servers kept alive with Docker and PM2.

n8n workflows that connect your apps, databases and AI models, replacing manual, repetitive work with scheduled and event-driven flows.

Small, efficient servers like Raspberry Pi and Intel NUC set up on-site as always-on hosts for agents, automations and internal tools, with remote access and monitoring.

Pipelines that build, test and scan every change, with secrets kept out of code and servers hardened before anything goes live.

AI agents taken from prototype to production for your business: containerized, connected to your real tools and data, and running in the cloud or on your own servers.

I set up and run Nous Research's open-source Hermes Agent end to end for your team: on your servers or in the cloud, wired to your tools, persistent memory and custom skills, reachable from the chat apps you already use, and maintained like any other production service.

REST APIs in ASP.NET Core and Go, and Android apps with Kotlin and Jetpack Compose.