Short Profile
Software & Systems Engineer/Architect with 25+ years of experience (automotive, med-tech, industry, printing, robotics). Specialized in layered, reusable architectures (low coupling / high cohesion) and design patterns (Facade, Proxy, Observer, Factory). Audit-proven (ASPICE reviews, ISO compliance), delivering measurable reductions in development time and time-to-market of up to 70%.
Engineering Philosophy
During more than twenty-five years in software engineering I have worked in many different industries including semiconductor manufacturing, railway systems, medical devices, industrial automation, renewable energy, measurement technology and automotive systems.
Although the technologies changed continuously, my engineering approach remained remarkably consistent.
I enjoy understanding complex systems, identifying architectural limitations and creating reusable software components that simplify future development rather than only solving today's problem.
For me, software architecture is not about creating complexity. It is about making complex systems easier to understand, maintain and extend.
Whenever I join a new project, my first objective is not writing code. It is understanding how the system works, identifying its constraints and finding an architecture that allows future engineers to develop the product more efficiently.
In my experience, well-designed software is not measured by the amount of code it contains, but by how naturally it can evolve over time.
Strengths & Focus
- Architectures with 70%+ reuse , clear modularity (low coupling / high cohesion).
- Audit-proven: ASPICE reviews & ISO conformity, clean guidelines & coding standards.
- End-to-end mindset: from µC drivers & inter-processor communication to product/series maturity.
- High-performance diagnostic & data paths (real-time & non-real-time).
- UML/SysML with Enterprise Architect, bidirectional traceability; AUTOSAR integration via Facade pattern.
Footprints in Everyday Life
Many of my systems run in series today — charging EVs, driving motors and sensors, powering high-performance printers, visualizing information in vehicles, or helping in labs and clinics. Not all carry a label — but they work precisely and reliably where it matters.