Biography

I am a Lead AI Infrastructure Engineer with 14+ years of experience, specialising in Healthcare Edge AI and regulated medical platform engineering. I currently lead the iDA Platform at Curagita AG — an on-premise Kubernetes edge infrastructure deployed across 26+ clinical sites in Germany, enabling hospitals to run vendor-certified AI algorithms locally without any patient data leaving the premises.

My core focus is solving the “Last Mile” problem in Medical AI: closing the gap between state-of-the-art ML models and clinical reality. This means handling everything from SaMD-compliant DevSecOps pipelines and automated SBOM generation, to prototyping and productising local LLM inference stacks and integrating DICOM/HL7 data pipelines directly into clinical visualisation tools like the OHIF Viewer.

Prior to Curagita, I spent five years forward-deployed inside the Radiology department at Uniklinik Cologne as part of Philips Healthcare, giving me a rare first-hand understanding of how radiologists work and what it actually takes for AI to be adopted in a clinical environment — not just technically, but behaviourally.

Core Competencies:
✦ Platform & Edge Infrastructure: Kubernetes, Cilium, FluxCD (GitOps), Terraform, zero-trust networking
✦ Healthcare AI: Local LLM Inference (vLLM), Vision-Language Models, DICOM Pipelines (Orthanc, MinIO), OHIF Integration
✦ Hardware-Aware AI: Nvidia Jetson AGX Orin, Nvidia GPU Operator, GPU scheduling on K8s
✦ Regulatory & Security: SaMD Compliance, SBOM tracking (OWASP Dependency-Track, SonarQube), Audit Pipelines
✦ Languages & Backends: C#/.NET Core, Python, TypeScript