The structure underneath

Academic Background

I hold a master's degree in Mathematics and Computer Science from the University of Fribourg, Switzerland. My Diplomarbeit — the Swiss equivalent of a master's thesis — was focused on Numerical Mathematics, specifically the study of algorithms for approximating solutions to mathematical problems that have no closed-form answer.

That intersection of rigorous theory and practical computation has been a thread running through everything I've worked on since.

25+ Years in IT

My professional career has been spent almost entirely at PostFinance, the financial services arm of Swiss Post — one of Switzerland's largest IT environments. Over more than 25 years I have worked across a range of technologies and roles, from mainframe-era systems to modern software development.

Languages and technologies I have worked with at depth include Ada, Java, Python, and XML-based data architectures. The shift from procedural correctness in Ada to the flexibility of Python mirrors, in some ways, the shift now happening in the broader software industry with the arrival of LLMs.

AI & Large Language Models

AI is the natural convergence of everything I have worked on: the mathematics of probability and optimization, the engineering discipline of large software systems, and language — which has always been a parallel interest. Large Language Models sit precisely at that crossing.

I work regularly with Claude (Anthropic) and Gemini (Google), exploring prompt engineering, agentic workflows, and the practical application of LLMs to real tasks — translation review, code generation, content structuring, and more.

As a small aside: this very website was built by writing code in Visual Studio Code, assisted throughout by Claude. The layout relies on CSS Flexbox and CSS Grid — no framework, no build step, just markup and a stylesheet. An experiment in what a single person can produce with a good model and a clear idea.