I specialize in the hardest part of AI: making systems actually work in production. Not demos. Not POCs. Production-grade deployments with systematic failure measurement and regulatory compliance.

Most AI projects fail between prototype and deployment. I've built frameworks for identifying failure modes, measuring system reliability, and ensuring compliance before production launch. My approach combines production ML engineering with responsible AI governance. Currently focused on: Production readiness assessment, systematic failure analysis, EU AI Act compliance integration, and responsible AI deployment frameworks. Industries: Manufacturing, energy, healthcare, financial services - anywhere the deployment failure rate needs to drop from 80% to near-zero. → Available for production readiness audits, deployment consulting, and compliance framework development.

→ Note: I also write about topics for intellectual curiosity. And I'm very curious (backaground in Insutrial Engineering, Management, Social Psychology, Chemistry, AI systems).