A secure, AI-assisted records platform for clinical teams
Architected the backend for a compliance-heavy medical records system, structured in strict layers so the business logic stays independent of frameworks and infrastructure. Integrated large-language-model features through secure pipelines that keep sensitive patient data protected, with long-running AI work pushed to background workers so the system stays fast and responsive.
Built end-to-end protection into the foundation: field-level encryption, hashed lookups for sensitive identifiers, multi-factor authentication, and a fine-grained permission model — plus a tamper-evident audit trail that logs activity automatically.