Hrum Tech

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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