Software engineering
Robust architecture, maintainable systems and reliable operation – from classic product software to modern distributed applications.
Expertise
More than 30 years of programming experience, professionally since 2004: from embedded C/C++ and .NET product software to modern applications with generative AI.
Areas of expertise
Robust architecture, maintainable systems and reliable operation – from classic product software to modern distributed applications.
Building GenAI applications, agents, RAG, local and cloud-based language models, and AI-assisted development workflows.
Classic embedded development with C, C++ and UML in defence and security domains.
Classic applications, bespoke solutions and embedded product software for security technology and building automation.
Structuring complex requirements, designing clear interfaces and components, and reliably automating recurring workflows.
Strong experience with digital assets, blockchain ecosystems and DeFi protocols – from technical foundations to market dynamics, risks and practical use.
GenAI focus
Generative AI is not an isolated demo technology for me, but part of modern software development. I work with agents, retrieval-augmented generation, local and cloud-based language models, coding assistants and automated development workflows.
The same standards apply as for any production system: transparent architecture, appropriate evaluation, data protection, controllable behaviour and reliable operation.
My focus is on combining proven software engineering with the new capabilities of generative AI to build dependable applications.
I am happy to connect for interviews or dialogue about software development, automation and practical AI adoption.