I've spent much of my career working on large-scale computing infrastructure for big data and machine learning, spanning distributed systems, performance, efficiency, capacity, and infrastructure strategy at Google, Apple, and Facebook. My other long-standing interests include data, optimization, mathematics, and open source.
I still enjoy building things at much smaller scales. Lately that has meant Raspberry Pi, computer vision, FreeBSD/Linux, and projects that make technical ideas approachable to kids.
- 🐿️ Cub Scout Trailcam — Raspberry Pi wildlife cameras that progress from basic Python image capture through motion detection and edge AI.
- 🏠 mortgagemath — Cent-accurate mortgage amortization for Python, validated against published regulatory, lender, and textbook examples.
- 📊 R / data tools — A collection of current and historical work in statistical computing and data infrastructure.