I turn AI chaos into clarity and growth. While others scramble over compliance, I design frameworks that actually work, translating NIST AI RMF and the EU AI Act into business-friendly systems that drive adoption and keep governance sustainable.
As an implementation architect with 3+ years leading federal and education sector deployments, I've boosted adoption by 20%+ through smart requirements, enablement, and change management. My track record includes 100% audit success in complex regulatory environments, proving I know how to bridge regulation with real-world execution.
The AI governance wave is here. I build the infrastructure that lets companies navigate regulatory complexity, turn compliance into competitive advantage, and scale AI responsibly without getting crushed by the chaos.
Created a simple chart showing the biggest risks of using AI in e-scooter programs, like fairness, safety, and privacy. Each risk is rated by how likely and how serious it could be, along with ways to reduce it and who should be responsible.
Built a visual map of the top 9 AI risks, ranked by how likely and how serious they are. This makes it easy for leaders to see at a glance which issues need the most attention first.
A governance and compliance framework designed for K–12 administrators to ensure responsible AI deployment. Includes a compliance assessment, 7 core principles, 25+ assessment criteria, and a phased implementation roadmap, showing ability to merge policy guidance with actionable training resources.
A quick-reference guide with six clear steps for reporting and tracking IT incidents in ServiceNow. Designed for higher education employees, it simplifies system use, reduces downtime, and supports compliance through accurate data capture.
A scenario-based interactive training that introduces employees to partnering with AI tools in the workplace. Includes voiceover scripts, facilitator guide, and visual mock-ups, demonstrating ability to design end-to-end learning experiences for both eLearning and instructor-led formats.
An AI-powered learner persona set created to guide instructional planning for professional development programs. Includes five comprehensive personas tailored to diverse workplace roles, showing ability to align training design with learner needs and organizational goals.
A one-page case study outlining the challenge, design approach, and solution for equipping K–12 educators with tools and training for ethical AI implementation. Demonstrates needs analysis, strategic toolkit design, and measurable outcomes.
Company website showcasing RAISE-Labs, a nonprofit initiative focused on Responsible AI & Education Innovation. Highlights grant readiness, K–12 program development, and leadership in bringing Responsible AI practices into schools and organizations.