Industries

I support companies where processes, data, and systems come together - especially in environments where reliability, traceability, and clean workflows are essential. I quickly familiarize myself with existing structures, understand logical relationships, and translate requirements into practical solutions.

Thanks to many years of experience across different industries, my focus is on software that works reliably in day-to-day operations: with clear responsibilities, clean data flows, and stable processes.

Healthcare

Systems in healthcare must run reliably, be clearly structured, and work in everyday practice — in environments with high responsibility and little tolerance for failure.

Typical topics:

• medical software, care and pharmacy systems
• interfaces and data flows between modules and systems
• process reliability and traceable workflows

Transport & Infrastructure

Infrastructure-related solutions require robust technology, clear responsibilities, and implementation that remains reliable under real-world conditions.

Typical topics:

• toll systems, POS and cashier software
• PLC-related integrations, control and data capture
• stable processes and clearly defined interfaces

Retail & Pharmacies

In retail, speed matters; in pharmacies, reliability and structure are equally critical. Good systems reduce manual work and ensure clean handovers.

Typical topics:

• merchandise management and branch systems
• consulting systems and pharmacy-related software
• automation of recurring processes

Interfaces, Integration & Existing Systems

In many projects, the industry itself is less important than ensuring that systems communicate reliably and processes run smoothly.

Typical topics:

• API interfaces and integration of external services
• data conversion, automation, and system integration
• extending and stabilizing existing software landscapes

Companies & Organizations (cross-industry)

Not every project belongs clearly to a single industry. Quite often, the real task is to simplify internal workflows, process data cleanly, and connect systems in a meaningful way.

Typical practical examples:

• virtual phone system: structure, routing, and integration into existing processes
• export to accounting software: automated transfers and clean data formats
• back-office automation: recurring tasks, data import, and interfaces between tools and systems