Who am I
I'm a full-stack developer, iOS automation architect, and founder building at the intersection of personal knowledge management, audio-text synchronization, and data sovereignty. Based in Ann Arbor, MI, I combine fraud detection data thinking with 18 years of Apple platform intuition to build tools that respect both the user's intelligence and their privacy.
What We Do
- iOS & Swift Development: Building VoxLight, an audiobook-ebook synchronization platform that achieves 60-second on-device alignment using sparse sampling — no server, no subscription, no DRM.
- .NET Modernization & Fraud Systems: Migrating legacy VB.NET/ASP.NET applications to .NET 8 microservices with PCI DSS compliance, Okta authentication, and SQL Server optimization for financial-grade data integrity.
- Apple Shortcuts Architecture: Designing complex iOS automation systems — 500+ shortcuts spanning reading pipelines, quantified self logging, home automation, and AI-assisted workflows.
- Quantified Self & Personal Data Systems: Building longitudinal personal telemetry infrastructure that captures behavioral, environmental, and biometric context across 6,000+ timestamped events.
- AI-Orchestrated Development: Leveraging Claude Code and large-context LLMs for agentic software development — functioning as product owner, CTO, and QA across multiple parallel codebases.
- Knowledge Management & PKM Integration: Building tools that treat highlights, annotations, and reading data as first-class personal assets routed through Obsidian, Drafts, and Apple Intelligence on-device pipelines.
Current Projects
- VoxLight: iOS audiobook-ebook sync app with Mac companion processor. Sparse sampling achieves full alignment in under 60 seconds on-device. Beta shipping March 2026.
- LibraryOfBabel RAG Platform: PostgreSQL-first digital library with 5,100+ books, vector embeddings, and semantic search — now evolving into a retrieval-augmented knowledge system.
- Magnum Opus Dataset: One year of continuous personal telemetry — focus modes, location transitions, biometrics, reading sessions, climate, and behavioral context — structured for longitudinal self-analysis.
- Threads API Intelligence Layer: Programmatic analysis of multi-sector social distribution strategy across 2.4M monthly impressions.
Philosophy
I believe tools should earn the trust of the people who use them — which means owning your data, understanding your stack, and building systems that work on your terms. My approach to development is shaped by fraud detection thinking: assume edge cases, design fallbacks, and treat data integrity as non-negotiable.
"Optimized contentment" still holds — technology should enhance life without colonizing it. The goal is always the sweet spot where the system holds the complexity so the person stays free.