Skills

I combine pragmatic software development with a clear focus on process and quality. It’s not about “more tech”, but about solutions that actually work in day-to-day operations: stable, understandable, and maintainable. Based on requirements, I define clean interfaces, robust workflows, and meaningful automation — including in environments with legacy systems. With my background in quality management, I pay attention to traceability, clear responsibilities, and measurable improvements. The result: outcomes that reduce team load, cut errors, and remain easy to evolve long term.

Technical skills

• API & interface development (REST/JSON, auth, webhooks, clean error handling)
• Integration of language/AI services: DeepL, OpenAI/Gemini, Google Translate
• Automation & data pipelines (import/export, batch processing, retry strategies)
• Legacy integration incl. Windows CE (connect reliably instead of risky “rebuilds”)
• Logging/monitoring for traceable workflows and fast troubleshooting

Method skills

• Structured analysis and clear interface definition before implementation
• Pragmatic delivery: start small, extend cleanly (prototype → robust solution)
• Quality with purpose: tests where they actually increase confidence
• Traceability through clear documentation and explicit decisions
• Process & quality mindset with 10+ years of practice as a quality management representative (ISO 9001 environment)

Collaboration, leadership & business practice

• Team coordination and leadership with 25+ years of experience
• Own entrepreneurship: company shareholdings for 10+ years — built and grown businesses from scratch
• Process optimization and cost reduction implemented in real operations (not just “methods”, but actual delivery)
• Translator between business and tech: capture requirements where they arise and turn them into clear, workable solutions
• Strong experience with non-technical stakeholders: elicit needs cleanly, explain clearly, implement sensibly
• Calm, clear communication, even when things get complex
• Reliability in day-to-day projects: transparent status, clear next steps

Working style & mindset

• Care and stability over “fast, fast” — especially in production systems
• Logical, solution-oriented thinking: narrow down problems, then solve them deliberately
• Maintainability in view: solutions that remain easy to evolve later
• Continuous improvement (CIP): not just “fixing”, but stabilizing sustainably
• On request: targeted support (review, prototype, technical consulting)

Typical areas of engagement

• Interfaces/adapters between systems (incl. legacy)
• Translation and text workflows (DeepL/Google) with terminology and quality logic
• AI workflows (OpenAI/Gemini) with control, logging, and fallbacks
• Automations that measurably simplify and stabilize processes
• “From real life” processes: from intake to implementation to measurable day-to-day relief