Summary
Alexander reimer is an AI model audit and governance analyst with 11 years of experience specializing in adversarial LLM testing, multimodal evaluation, and translating technical red-team findings into enterprise-ready controls. He has supported safety and deployment decisions at Meta Superintelligence Labs, Google Gemini, Microsoft Copilot programs, and now leads final-layer validation and quality governance at NVIDIA while advising EC-Council on AI-driven ethical hacking. Alexander combines multilingual (EN/DE/RU) threat analysis and dataset architecture with hands-on human-in-the-loop pipelines to reduce hallucination, jailbreak, and policy-failure risk across regulated environments. He routinely maps model-level failures to NIST AI RMF and EU AI Act compliance workflows and has built reproducible rubrics and KPIs used in executive risk reviews. Unusually, his background in social services and incident forensics informs a pragmatic focus on auditability, chain-of-custody, and real-world operational resilience when designing AI controls.
12 years of coding experience
2 years of employment as a software developer
Associate's degree Social Work, Associate's degree Social Work at Fachakademie für Sozialpädagogik in Neuendettelsau
CompTIA Network+ Network and System Administration/Administrator, CompTIA Network+ Network and System Administration/Administrator at Syracuse University
Bachelor of Science - BS IT Management, Bachelor of Science - BS IT Management at Trident University International
B.Sc. Business Administration & Business Psychology Economics and Psychology, B.Sc. Business Administration & Business Psychology Economics and Psychology at Euro-FH Europäische Fernhochschule Hamburg
Postgraduate Certificate- Executive Program Artificial Intelligence & Machine Learning, Postgraduate Certificate- Executive Program Artificial Intelligence & Machine Learning at The University of Texas at Austin
CompTIA A+ Certificate Information Technology, CompTIA A+ Certificate Information Technology at MedCertify
German, English, Russian, Latin, Spanish