Since 2019 I’ve built and run the data platform behind The Eco Plumbers, Electricians, and HVAC Technicians, a home-services company. That means the usual data-engineering foundation — pipelines (built with dlt) that move data out of ServiceTitan and other operational systems into a warehouse — plus the modeling work layered on top of it: call-volume forecasting and customer lifetime-value modeling that feed into staffing and marketing decisions.
More recently the platform has grown an AI layer: agents that sit alongside CSR (customer service representative) workflows, and a handful of internal Nuxt applications and MCP servers that expose the underlying data and tooling to the rest of the business.
This work is internal and closed-source, so there’s no repo to link to here — the public projects on this site (servicepytan, mcp-servicetitan) grew out of the same ServiceTitan-ecosystem work.