John Moody · Richmond, Virginia

I get codebases from project to production.

I work with founders who have a working prototype, or an AI-assisted codebase that works but nobody has hardened. I make it something you can run a business on: tested, monitored, and safe to deploy.

How an engagement works

Work I’ve taken to production

Three systems I built and ran in production, all in indoor-farming IoT. I’ve also worked in autonomous vehicles and robotics, and at a biotech startup. The full case studies are on the work page.

Data infrastructure

A data warehouse that survives constant change

There was no data warehouse, and operational history was quietly disappearing as records aged out of each source system. I built the first one, solo, and designed it to be maintained on a short daily review: schema drift is detected automatically, and each morning an AI agent opens a migration pull request with a written rationale for me to approve.

Read the case study

Data access

Plain-English answers, without waiting on an analyst

Data questions queued behind the few people who could write SQL, and many were never answered. I built an internal MCP data-access server so non-technical staff could ask in plain English, with a concept dictionary underneath it so the system knows the difference between a seed date and a germination date. The people asking the questions now answer them.

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Automation

Reports that used to be assembled by hand

Customer sustainability reports were built manually from several tools, one at a time, by whoever had the specialist knowledge. I replaced that with an end-to-end pipeline: scheduled reports run without anyone touching them, and the customer experience team generates custom ones on their own.

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Availability

I’m currently taking on one new engagement. If it might be yours, email me a couple of sentences about the project and where it stands.