Most of my work lives behind the screens you use every day. I start from the actual problem — not the ticket — then build the simplest thing that holds up in production. Six years and 15+ shipped projects in, I've learned that the work that matters is clear, disciplined, and built to last.

Whether I'm owning a product end-to-end or dropping into an existing team, the mindset is the same — which is exactly why I slot into almost any team.

• I solve real problems across the stack — from street-level geospatial platforms used by millions to full-stack fintech and government products.
• Today I focus on distributed systems, cloud infrastructure, and AI applied to real-world problems.
• Equally at home owning a product end-to-end or joining an existing team — from architecture decisions through to shipped code.
• M.Sc. Software Engineering & Internet Computing @ TU Vienna · based in Vienna, Austria.
• Four languages — 🇧🇦 native · 🇩🇪 🇬🇧 fluent · 🇮🇹 basic.
• Off the keyboard: 3rd-dan black belt, chess, table tennis, football — same discipline, different arena.

Across a steady stream of client and product work, the thread I keep pulling on is agentic AI — systems where LLMs don't just answer, they take real actions. Right now that means going deep on agentic workflows on Google Cloud (Vertex AI Agents and the Google Agent Development Kit), and on agent tooling with Claude and Gemini — applied, as always, to real-world problems rather than demos.

Core

Backend & Data

Frontend

Cloud & DevOps

AI & Agents

Product ownership  ·  First principles  ·  Stakeholder communication  ·  High agency  ·  Async-friendly

I turn fuzzy problems into shipped products, write code reviews that teach, and bridge the gap between stakeholders and engineering. The same mindset I bring to sport, I bring to the software I ship: clear, disciplined, built to last.

Build what lasts.