AI Infrastructure - Gemini AI Governance
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Overall, 8+ years of Experience with good experience in AI Governance and Cybersecurity professional with experience implementing governance controls, audit-ready compliance procedures.
Experience in Security operations with expertise in NIST AI RMF, ISO/IEC 42001, and AI compliance practices. Experienced in automation using Python and Bash to improve governance workflows and operational efficiency. Operationalised AI governance controls aligned with organisational policies, ensuring audit readiness and regulatory compliance across production AI systems.
Experience in conducting AI risk assessments to identify data privacy, security, bias, and operational risks associated with enterprise AI workflows. Developed governance documentation, standard operating procedures (SOPs), and compliance evidence repositories for AI-related audits and reviews. Managed risk escalation workflows with documented root cause analysis, corrective action tracking, and preventive control recommendations.
Collaborated with cross-functional stakeholders, including engineering, security, compliance, and operations teams, to enforce AI governance policies. Performed pre-deployment AI risk evaluations focusing on fairness, explainability, transparency, and data integrity considerations. Assisted in monitoring AI systems for compliance with Responsible AI principles and internal governance standards.
Supported implementation of ethical AI controls related to bias mitigation, human oversight, and model accountability. Contributed to AI lifecycle governance initiatives covering data ingestion, access control, retention, and secure disposal procedures.
Experience in stakeholder alignment across technical and non-technical teams. Familiar with NIST AI RMF, ISO/IEC 42001, and EU AI Act risk tiers.
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Master of Science - Cybersecurity - Wright State University