Quantified SelfAI CoachAnalytics

Health OS

Personal health operating system integrating wearables, labs, and AI coaching.

RoleBuilder / Founder
Timeframe6 Months
ImpactHL7/FHIR + HIPAA compliant architecture
StackNext.js, HL7/FHIR, AI Coaching
01 / Context

The Problem

Wearables generate gigabytes of health data. Lab results pile up in PDFs. Most of this gets ignored because there's no system tying it together—no way to see patterns across sleep, nutrition, activity, and bloodwork.

I built Health OS to fix that. A personal operating system that ingests data from every source, applies FHIR/HL7 standards, and surfaces insights that actually matter.

02 / Strategy

Approach

Build Principles

  • • Ship fast, iterate on real feedback
  • • Start with constraints, not features
  • • Measure what actually matters

Technical Moat

Domain expertise in Quantified Self. Systems built for scale without overengineering. Pragmatic tech choices that ship.

03 / Execution

What We Built

Health OS Architecture

Systems Architecture & Data Flow

Technical constraints forced creative solutions. We optimized for Quantified Self from day one, which meant rethinking architecture at every layer. Shipped incrementally, validated with real users, and scaled what worked.

04 / Results

Impact

HL7/FHIR

HL7/FHIR + HIPAA compliant architecture

What I Learned

AI products need to be grounded in real constraints. Hallucinations kill trust. Accuracy at scale beats feature bloat.

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I'm drawn to hard problems at the intersection of emerging technology and human behaviour especially in spaces that are ripe for disruption powered through innovation.