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macOS · iOS · on-device AI

Your data should never leave your device.

I'm Nathan. I build native macOS and iOS software with privacy-first architecture — and the on-device AI that runs inside it. Welcome in; here's what I've been working on.

SwiftUIWidgetKitApple SiliconGraphRAGMCP
Inspector
processing
on device
network
no egress
storage
local only
telemetry
none

everything above stays inside this machine

About

I build for the Apple ecosystem, and I lead the teams that ship it.

My work runs the full length of a product — system architecture and technical documentation through to App Store Connect deployment and compliance — with a consistent bias toward local-first designs that do their work on the user's machine rather than someone else's.

Core strengths

  • Native Apple ecosystem development

    Fluid, modern experiences for macOS and iOS built with SwiftUI, WidgetKit, and liquid-glass interface design.

  • Engineering leadership & agile delivery

    Steering technical teams and complex projects from conception through deployment, holding velocity as Scrum Master.

  • Privacy-first architecture

    Secure, local-first applications built on offline-only entitlements and on-device processing.

  • Full-lifecycle product development

    Architecture and technical documentation through App Store Connect submission, review, and compliance.

Core interests

  • Edge AI & local foundation models

    Pushing what Apple Silicon can do directly — ComfyUI with MPS acceleration, local LLMs, no round trip.

  • Advanced AI architectures

    Context-aware systems built on GraphRAG, LangChain, and Model Context Protocol servers.

  • Purpose-driven applications

    Tools aimed at real problems: health-focused monitoring utilities and educational financial literacy platforms.

  • Market & infrastructure technology

    The intersection of software, energy infrastructure demand, and financial data analysis.

Selected work

Things I've built, and what they're for.

macOS · shipping

DistanceDefender

A macOS utility that watches your screen distance and posture, then nudges you to look away before eye strain sets in. All processing happens on device — no camera frame ever leaves the Mac.

web · in progress

Ledger Lessons

An educational platform that teaches financial fundamentals through interactive scenarios instead of lectures. Learners practise consequential decisions in a sandbox before they face them for real.

edge AI · research

Silicon Bench

A local-first workspace for running foundation models on Apple Silicon with MPS acceleration and no cloud dependency. Built to make on-device inference practical enough for everyday tools, not just demos.

Contact

Building something that should stay private?

I'm open to conversations about Apple-platform work, on-device AI, and teams that need someone to hold both the architecture and the delivery.