AI Strategy, Infrastructure Architecture & Security Research
Pillar · AI governance · EU AI Act · GDPR · HIPAA · Ethical AI
The advisory approach connects AI risk assessment, technical documentation, human oversight and operational controls. Applicable duties depend on the system, organizational role and jurisdiction; this is not a guarantee of compliance. Enterprise infrastructure and cybersecurity form the foundation of the advisory work. See the career background for the scope of previous roles.
EU AI Act risk classification, GDPR alignment for AI pipelines, HIPAA handling patterns for regulated industries, sector-specific documentation readiness.
Three-Lines-of-Defence mapped to AI-specific risks. Post-market monitoring, human oversight, logging, incident reporting as working artifacts, not intentions.
R.E.A.D. × TV is an author-published research proposal for ethical-alignment measures. Its version 1.4 paper describes the proposed method; it does not establish independently validated ethical measurement or regulatory certification.
Governance layered into delivery: engineering gates, release reviews, model cards, and reviewable agentic workflows that don't turn into black boxes when audited.
This pillar page is the index. Each link below is the concrete surface: regional advisory, framework definition, canonical paper, or applied case.
The advisory approach connects AI risk assessment, technical documentation, human oversight and operational controls. Applicable duties depend on the system, organizational role and jurisdiction; this is not a guarantee of compliance.
Check prohibited practices under Article 5, the high-risk criteria and exceptions under Article 6 and the annexes, and relevant transparency duties under Article 50. Intended purpose and the operator’s role matter; a four-label summary does not replace that assessment.
R.E.A.D. × TV is an author-published research proposal for ethical-alignment measures. Its version 1.4 paper describes the proposed method; it does not establish independently validated ethical measurement or regulatory certification.
The paper explores transfer learning for medical imaging and capsule endoscopy. Read the research and its assumptions before applying the findings. Research is not evidence of clinical deployment, regulatory approval or a clinical-performance improvement. No such outcome is claimed here.
Based in Cologne, Germany. Available for engagements in Vienna and across DACH.
The advisory approach connects AI risk assessment, technical documentation, human oversight and operational controls. Applicable duties depend on the system, organizational role and jurisdiction; this is not a guarantee of compliance.
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