I build automation systems for dairies, agriculture, and operations-heavy businesses.

Problem

Embryo and genetics data was split across spreadsheets, vet records, and disconnected software — no single view of herd decisions.

Solution

Centralized herd management platform with Supabase as the data layer and a Claude-powered AI query interface for natural language reporting.

Problem

Field teams had no way to log equipment maintenance without going back to a desk. Paper logs got lost or were never filed.

Solution

QR codes on every piece of equipment link to a mobile-first form — scan, log, done. No login, no app install, no friction.

Problem

Dairy hedging positions required manual GAAP reconciliation every period — a multi-hour spreadsheet process prone to error.

Solution

Automated dashboard that pulls futures positions, calculates mark-to-market, tracks settlements, and produces GAAP-compliant P&L output.

Problem

No single source of truth for cost of gain, breakeven milk price, or input costs — decisions made on gut feel and stale data.

Solution

Integrated financial models pulling live operational data to calculate KPIs across feed, labor, and input costs in real time.

Problem

Scale data, VisionLink telematics, feed records, and market prices all lived in separate systems with no common format.

Solution

Automated ETL pipelines that ingest, normalize, and load external data on a schedule — one clean data layer for all analytics.

Problem

Critical events — scale errors, feed variances, reproduction alerts — were discovered hours late because they required checking dashboards.

Solution

Event-driven alert pipeline that detects anomalies and routes notifications to phone via ntfy. Configurable thresholds per event type.