AI/ML · Server Deployment
HIPAA-Compliant AI Health Assistant
Digital Health
Multi-microservice
Architecture
HIPAA
Compliance
Sole AI Lead
Role
The Challenge
The client needed an AI health assistant that could safely reason over sensitive patient data, integrate wearable device signals, and meet strict HIPAA compliance requirements across every service boundary.
The Approach
- Architected a multi-microservice system combining RAG, ML prediction models, and real-time wearables data integration.
- Designed custom core logic and service boundaries to keep protected health information compliant end-to-end.
- Acted as sole AI lead coordinating across cross-functional engineering teams.
Results
- Delivered a production-ready, HIPAA-compliant architecture spanning multiple integrated services.
- Enabled predictive, personalized health guidance grounded in real patient and wearable data.
Tech Stack
RAGML PredictionMicroservicesAWSHIPAA-Compliant Infra
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