AI is no longer optional—but neither is risk management, regulatory compliance, or strategic alignment. I help
organizations translate AI hype into real-world value, with a strong focus on privacy, security, and responsible
innovation.
Services Offered
🎯
AI Strategy & Roadmapping
Identify high-impact AI opportunities aligned with your organization's mission and workflows
Prioritize where to build, buy, or wait on AI investments
Create realistic, compliant, and forward-looking AI adoption plans
Coordinate across technical and executive teams to ensure buy-in and scalability
🛡️
AI Governance & Risk Frameworks
Develop governance plans that address privacy, bias, and model accountability
Align your systems with standards like HIPAA, EU AI Act, Executive Orders and NIST RMF
Create audit trails, documentation workflows, and model validation pipelines
Support compliance reviews and internal/external oversight processes
🤖
LLM & Agent Oversight
Evaluate risks, benefits, and infrastructure needs for deploying generative AI tools (e.g., ChatGPT,
custom
agents)
Establish usage guidelines, logging protocols, and safety boundaries
Support implementation of retrieval-augmented generation (RAG), API-based copilots, or agentic workflows
Ensure agent deployment aligns with user transparency, data protection, and organizational risk appetite
⚙️
Deployment & Infrastructure Review
Review pipelines for data ingestion, transformation, vectorization, and model inference
Evaluate infrastructure readiness (e.g., Docker, Kubernetes, cloud service security)
Assess the robustness, reproducibility, and monitoring practices of deployed models
Identify potential failure modes and implement fail-safes or fallback mechanisms
👔
Executive Advisory
Advise senior leadership on AI investment, hiring, vendor selection, and organizational alignment
Design AI literacy and training programs tailored to board members and non-technical executives
Serve as a fractional member of your leadership team (CAIO model) without requiring a full-time
commitment
Translate technical complexity into strategic clarity
📊
Applied ML & Data Science Systems
Design and review classical ML systems for classification, ranking, and prediction tasks
Develop interpretable models with fairness, auditability, and compliance in mind
Guide data collection, preprocessing, and feature engineering for regulatory use cases
Support evaluation strategy using appropriate metrics, baselines, and testing protocols
Independent AI Evaluation & Expert Services
In addition to advisory and strategy work, I offer independent expert evaluation of AI systems.
When Is This Useful?
Litigation or disputes involving algorithmic decision-making
Audits or impact assessments for high-risk AI systems
Procurement due diligence and public-sector vendor evaluation
Healthcare, finance, or legal settings where privacy, explainability, or harm mitigation is essential
Roles I Can Serve
Advisory Board Member – Support startups, nonprofits, or mission-aligned orgs on AI
strategy and governance
Expert Witness – Provide reports, affidavits, or court testimony in cases involving AI
use
Independent Evaluator – Conduct neutral assessments of AI systems for bias, privacy,
safety, or regulatory alignment
Technical Advisor to Counsel – Help legal teams or compliance officers understand model
behavior and risks
With experience in federal agencies, healthcare systems, and AI governance, I bring both technical rigor and
regulatory fluency to this work.
Leadership & Public Engagement
Outside of evaluation and deployment work, I selectively engage in roles that help shape the direction of
responsible AI at the institutional or policy level.
Roles I Welcome
Fractional Chief AI Officer (CAIO) – Provide strategic leadership to organizations
without
the overhead of a full-time executive
Advisory Board Member – Support startups, nonprofits, and research initiatives in shaping
responsible, mission-aligned AI strategy
Public Contributor – Participate in grant panels, policy working groups, and innovation
initiatives focused on safe AI adoption
Speaker – Deliver invited talks, keynotes, and lectures on AI ethics, compliance, and
strategic governance
About Me
Professional Experience
Specialized in high-compliance, privacy-sensitive environments (e.g., healthcare, defense,
cybersecurity).
10+ years of experience in AI and data science
Served as the AI Lead at the U.S. Department of Veterans Affairs, and the U.S. Food and Drug
Administration
(FDA)
Advisor to startups on AI governance, secure AI and agent deployment, and infrastructure strategy
Advisor and technical contributor to cross-agency AI innovation programs, including:
Executive Office of the President – The White House
Department of Defense (DoD)
FBI – National Cyber Investigative Joint Task Force (NCIJTF)
NSF – Convergence Accelerator Program
DOT – Intelligent Transportation Systems
Academic Experience
Lecturer and course developer of “Computing in Context” at Columbia University - School of International
and
Public Affairs
Lecturer and course developer at NC State’s Data Science & AI Academy, teaching “Fundamentals of LLMs”
Guest lecturer and advisor on AI ethics, governance, and responsible deployment
Education
PhD in Mathematics – University of Iowa
MSc in Artificial Intelligence – University of Texas at Austin
MSt in Artificial Intelligence, Ethics & Society – University of
Cambridge
BSc in Mathematics - University of Puerto Rico, Rio Piedras