Senior IT-Manager & Interim Leader · AI Governance & Agentic AI Operating Models · Enterprise Architecture in regulated environments (BaFin/DORA)
I've spent 20+ years building, leading, and orchestrating IT in regulated and critical environments — from greenfield corporate IT (Tönnies Group, 0→7 plants) through enterprise architecture, security and governance responsibility at a BaFin-regulated financial institution (Daimler Mobility AG), to platform governance with production AI agent pipelines (SMA Solar Technology).
Today I help organizations make AI agents governable: operating models, risk & control structures (EU AI Act, DORA), and the engineering patterns to match. The repositories below are working artifacts of that practice — governed agent pipelines, evaluator-tested prompts, and audit-first design.
- agentic-ai-governance-toolkit — lifecycle models, risk scoring, EU AI Act & DORA checklists, and a working evaluator for AI agents in regulated organizations
- rag-approval-blueprint — the other half: not how to build a compliant RAG assistant, but how to get it approved — approval file, control catalogue with test procedures, deletion evidence, and a worked approval run (DORA/MaRisk)
- local-agent-pipeline — a minimal, fully local multi-agent pipeline where auditability and human oversight are first-class features
- razbiram-nlp — Bulgarian NLP content-enrichment engine (morphology, CEFR-style difficulty, glosses), with golden-set evaluated LLM prompts
