Architecting scalable distributed systems and production-grade AI/LLM integrations. 25+ years of engineering discipline focused on stability, performance, and business profitability.
From tinkering on 8-bit computers like Atari and Commodore, to architecting systems for European e-commerce giants. My career is defined by deconstructing complexity and building for high availability.
I combine "old-school" engineering reliability with an academic background in Applied Informatics and an MBA in Executive Management. I don't just write code; I design sustainable solutions that align with real business strategy.
Recent work spans mission-critical order and payment infrastructure across 70+ restaurant and delivery locations and e-commerce platforms serving multiple European markets. I have also founded and administered companies in three countries.
Production LLM workflows extracting structure from unstructured data. AI coding agents shipping systems under standard engineering discipline: phased rollout, test isolation, code review. All on self-hosted EU GPU infrastructure.
Scalable multi-tenant SaaS platforms with unified OAuth2 identity: one account across the product ecosystem. Backend systems that can't afford downtime, from order and payment infrastructure to e-commerce across European markets.
Architecture consulting with hands-on implementation, not advisory decks: the person designing the system is the one shipping it. Decisions driven by product strategy and real constraints. Speed and reliability aren't a trade-off.
Designed, built and operated end-to-end at Sinesco. Multi-tenant SaaS with AI where it adds real value, sold through Paddle, running on our own hardware.
Stop answering "When will it be ready?"
Map your internal process once, then share a live tracking link so customers always know where things stand. Status-check emails disappear even when the work is still moving.
Track your time without the clutter.
Built for solo professionals who don't need team features, monitoring or approvals. The timer runs on the server, so tracking keeps going when you close the laptop or switch devices.
Your data never leaves the building.
Large language models run on our own GPU hardware in our own EU machine room. No external cloud AI APIs, no training on client data, no third parties seeing it.
Contract engineering and architecture consulting: scaling bottlenecks, critical technical debt, legacy modernization, and getting AI into production properly.