Shipped products and open-source tooling. Everything here is in production somewhere — the lab is not a junk drawer.
The product side of the practice — an enterprise IoT data platform that turns building-system telemetry into anomaly detection and operational intelligence. Real customers, real contracts, real AWS bill.
A small public tool that lets teams define what 'good' looks like for a metric before building the dashboard. One YAML file, zero vendor lock-in, instant accountability.
Small, sharp tools extracted from engagements. MIT-licensed, used in production, maintained with intent.
Define metric ownership, thresholds, and SLAs in a single YAML contract.
Diff two financial ledger exports and surface the variance. CLI-first.
Discrete-event freight lane simulator for capacity planning what-ifs.
Executable runbook templates for data warehouse incident response.
The five metrics every data team should track, as dbt models.
Opinionated macOS dev environment. Nix + Homebrew + zsh.
Placeholder repos & counts — connect the GitHub API or replace with real repository data when ready.
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