HeartWire

Ecosystem

Everything below started as an attempt to solve a real problem.

Each project is part of a larger system, and the structure reflects how that work is organized.

Health-Tech Apps

  • GastroGuard

    Active Development

    GI symptom tracking and personalized insight engine

    Live deployment

    Tracks GI symptoms, meals, and triggers and builds insight over time. Designed to identify real cause-effect patterns.

    Next.js
    Supabase
    TypeScript
    PWA
  • MindMap+

    Active Development

    Mental state tracking with behavioral pattern recognition

    Live deployment

    Captures mental state as structured data. Turns mood, stress, and behavior into patterns you can analyze.

    Next.js
    Supabase
    Recharts
    TypeScript
  • SkinTrack+

    Prototype

    Lesion and skin condition tracking with environmental correlation

    Live deployment

    Tracks skin conditions over time and ties them to environmental and behavioral inputs. Built to identify patterns, not just log events.

    Python
    Computer Vision
    Supabase
  • GlucoLoop

    Concept

    High-feedback CGM analytics layer

    Builds a tighter feedback loop on top of CGM data. Focused on faster and more actionable glucose insight.

    Python
    FastAPI
    Supabase

Platform / Data Layer

  • HealthHelper

    Architecture Phase

    Unified health data layer and cross-app analytics engine

    Live deployment

    Acts as the central data layer across all projects. Connects separate health signals into one system.

    Supabase
    PostgreSQL
    Analytics
  • HeartWire OS

    Active Development

    Academic and engineering operating system for structured study and long-term learning

    Live deployment

    A structured system for studying, planning, and building. Designed for long-term learning, not short-term productivity.

    Next.js
    TypeScript

Biomedical Devices

  • Adaptive biomechanical support system for knee stability and recovery

    A modular knee brace focused on stability, load distribution, and real-world use. Designed to adapt to different recovery needs.

    3D Printing
    CAD
    Biomechanics

Research and case studies

  • Reverse-engineering a Class II reverse shoulder arthroplasty system end-to-end.

    A full-system teardown of a reverse shoulder implant: disease state → biomechanics → requirements → regulatory → manufacturing → outcomes.

    Biomechanics
    Materials (Ti-6Al-4V, Tritanium, X3 UHMWPE)
    FDA 510(k)
    QFD
    DFx / DfE
  • 12 interviews with healthcare professionals on where engineering fails (and what clinicians actually need).

    Primary qualitative research with 12 healthcare professionals (8 physicians) on clinical risk, supply fragility, and the clinical–engineering gap.

    Qualitative research
    Stakeholder interviews
    Systems engineering
    Clinical workflow
  • A PROSPERO-registered systematic review on material degradation outcomes.

    Pulled and synthesized 11 studies on corrosion, wear, and ion release in cobalt-chromium dental prostheses under PRISMA 2020.

    Systematic review
    PRISMA 2020
    PubMed / Scopus / Web of Science
    Biomaterials

AI / Tooling

  • JonnyJr

    Active

    AI-powered research and automation system

    Automates research and turns raw information into structured outputs. Built as a personal research engine.

    Node.js
    TypeScript
    OpenAI API
    GitHub Actions