AI Governance and Transformation Practitioner
Georgetown Executive Certificate in AI Governance and Compliance CISSP | CISM | CRISC | ISO 27001 Lead Implementer Founder, Trauma Informed AI Lab (TIAL)
I govern and adopt AI programs at enterprise scale. My work spans NIST AI RMF implementation, agentic AI governance, CMMC readiness, and enterprise Copilot and NowAssist adoption for regulated industries and defense-adjacent organizations.
Current focus:
- AI governance for federal civilian agency AI deployments
- Agentic AI oversight architecture and MCP protocol governance
- CMMC readiness and AI tool exposure within CUI environments
Active research: Trauma Informed AI Lab (TIAL) develops governance frameworks and evaluation tools for AI systems serving vulnerable populations in healthcare and social services. Institutional partners: MedStar Health Research Institute | Georgetown CoLab | Florida Memorial University
| Category | Credentials |
|---|---|
| AI Governance | Georgetown Executive Certificate in AI Governance and Compliance |
| Security and Risk | CISSP, CISM, CRISC, ISO 27001 Lead Implementer |
| Cloud and AI | Azure AI Fundamentals (AI-900), Azure Fundamentals, Security Fundamentals |
| Project and Program | PMP, PMI-ACP |
| Change Management | Prosci ADKAR |
| Credential | Category | Timeline |
|---|---|---|
| IAPP AIGP | AI Governance Signal | Q3 2026 |
| CCP (via ISACA) | CMMC Pipeline Gate | Q3 2026 |
| AWS AIF-C01 | Cloud AI Signal | Q3 2026 |
| ISO 42001 Lead Auditor | AI Governance Gate | Q4 2026 |
| Microsoft AB-731 AI Transformation Leader | Microsoft Ecosystem | Q4 2026 |
| Microsoft AB-100 Agentic AI Business Solutions Architect | Agentic AI Expert | Q1 2027 |
| CCA (via ISACA) | CMMC Rate Card Gate | Q1 2027 |
- trauma-informed-ai-lab — Applied AI governance research for vulnerable populations
- Microsoft-Sentinel — Cloud-native SIEM implementation mapped to NIST SP 800-171 (3.3 Audit & Accountability, 3.6 Incident Response) and CMMC Level 2. Detection, audit logging, and incident response for a CUI-aligned environment.
- Role-Based-Access-with-Microsoft-Entra — Least-privilege access governance mapped to NIST SP 800-171 (3.1 Access Control, 3.5 Identification & Authentication) and CMMC Level 2. Role separation and just-in-time privileged access.
- llm-custom-instructions — AI instruction architecture methodology demonstrating operational fluency in AI system design and governance controls.
- ai-governance-framework — Practitioner framework for agentic AI governance across seven domains. Forthcoming.


