Enterprise Asset Management
Developed an enterprise asset management application serving the energy sector across multiple client organizations. Used by operations teams to track equipment lifecycle, plan and run inspections, coordinate field crews, and generate work-outcome and compliance reports. Built with Symfony + API Platform on the backend (Doctrine ORM, PostgreSQL) and Laravel + Livewire + AlpineJS + Tailwind on the frontend. Used Varnish on the API side for HTTP caching to improve performance. Infrastructure runs entirely on AWS, provisioned as code with Terraform (IaC). Alongside the product, I lead AI adoption for the development team - GDPR-compliant usage policies, a data-censoring layer in front of every external model call, per-repository .aiignore rules, and data-residency controls for code that cannot leave the network.
Read: What AI governance actually means in a German enterprise →
AI Development Governance
- •Established GDPR-compliant AI usage policies
- •Implemented .aiignore for codebase protection
- •Data-residency controls for sensitive processing
- •Data censoring pipeline before AI processing
- •Led training for development team on responsible AI
