Featured work · 2026
PrivAI Guard
Employee use of public AI tools often outpaces the privacy and governance controls around them.
A non-production Shadow AI governance MVP I designed and developed that turns risky employee AI use into structured privacy-risk triage, human review, and auditable remediation.
- Shows that governance requirements can be translated into a working technical system.
- Structured risk review and remediation with a human decision path.
- Not automated legal or regulatory decisioning.
- Next.js
- React
- TypeScript
- Supabase/PostgreSQL
- Vercel
- GitHub
Northwestern University MSIS capstone MVP. Non-production. Synthetic demonstration data only. Human governance review — not automated legal or regulatory decisioning.
