What the work achieved in real projects

These examples show how I clarify technical risks, stabilize software delivery, and help teams continue developing their systems. The projects remain anonymized, and each result relates to the starting point described.

Anonymized project

Stabilizing an enterprise app during live operation

Stabilization of a widely used enterprise app while working with a multi-person development team.

  • 60% fewer app crashes over 12 months
  • Modular architecture for teams working in parallel
  • Platform ready for further development (.NET MAUI)
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Anonymized project

Stabilizing software delivery for an analytics platform

Stabilized software delivery and helped the team develop the system independently at an analytics and optimization company.

  • Sprint delivery from about 70% to more than 95%
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Anonymized project

OPC UA and Asset Administration Shell in practice

Practical research at the intersection of legacy systems and Industry 4.0.

  • FluentAAS & AASx-Server Open-Source (GitHub)
  • AAS submodels using real-world industrial data
  • OPC UA + .NET integration in the field
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Anonymized project

Code forensics for AI-assisted software delivery

The assessment combined code and repository forensics with defect, delivery, and AI workflow data. It created a clear baseline for the technical roadmap: working practices remained visible, risks became verifiable, and the next improvements became concrete work items.

  • Technical strengths and risks combined into a prioritized decision basis
  • Clear acceptance criteria identified as a central lever for quality and AI-assisted development
  • Concrete safeguards, verification steps, and pilot actions defined for further AI use
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