Edge hardware · data · AI
Hardware hacker.
Data architect.
AI pilot.
I build at the seam where enterprise scale meets maker culture: ESP32 mesh networks, Fortune 500 data warehouses, and the plumbing that keeps AI safe in production.
Forest Hills, Michigan. On site across Grand Rapids and Kent County, remote everywhere else.
Three threads, one practice
Edge and hardware
ESP32 mesh, SDR scanner stacks, TRNG generators, Pi clusters. Production hardware on local power, with real signals and real latency budgets.
Data architecture
Pipelines, warehouses, telemetry. Fortune 500 scale without a cloud provider on the bill: systemd, Postgres, NATS, and a deploy script that fits on one screen.
AI piloting
Claude as co-pilot for work that ships, not demos. Workflow design, agent harnesses, and the unglamorous plumbing that makes them safe in prod.
By the numbers
| Repositories indexed | 84 |
| AI sessions | 126 |
| Messages exchanged | 364,584 |
| Active days | 36 |
| Current streak | 3 d |
site-data.json, generated Sep 7, 2026
The record
Four GitHub organisations, ten years of commits, and the AI sessions that produced a growing share of them. It is all counted rather than described.
- Workthe four orgs, commit history and language mix rolled up
- AI pilot licencesessions, models, and what the tooling is actually rated at
- Cost analysiswhat this way of working costs, modelled against the alternative