AI Governance Resume
AI Governance practitioner bringing graduate study, a University of Guelph data privacy and security governance credential, and operational compliance experience -- identity verification, fraud escalation, and privacy-conscious handling of sensitive records -- to applied AI risk, framework knowledge, and governance translation of technical results.
Key strengths
- AI/ML security risk and responsible-AI framework knowledge (NIST AI RMF, ISO/IEC 42001, OECD AI Principles, EU AI Act)
- Privacy-preserving ML concepts -- differential privacy, k-anonymity, federated learning privacy
- Governance translation of measured technical results into stakeholder-facing risk language
- Operational compliance, identity verification, and fraud-escalation experience
- Privacy-conscious handling of sensitive customer records under procedural controls
- Digital forensics and AI-evidence-handling methodology
- Applied AI governance workbench and risk-register design
Supporting evidence
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Last updated: August 2026