Operational systems
Workflows modeled on how the work actually happens: states, handoffs, capacity, exceptions, and the rollout that gets people using them.
Process mapping, State machines, Capacity planning, Exception design, Rollout + training
Product + UX
Screens for people under pressure: review flows, clear ownership, and decision surfaces that stay legible on a busy floor.
Information architecture, Interaction design, Review workflows, Role + authority design, Operational visualization, Full-stack React + TypeScript
Data + intelligence
Pipelines, forecasts, and read models built for decisions, with freshness and uncertainty kept in view.
PostgreSQL + SQL, BigQuery, Python + Pandas, ETL / ELT, Forecasting, Cache + read models
AI + automation
Rules plus models where they help, human approval where it matters, and one source of truth throughout.
Multimodal vision models, Document + image extraction, Deterministic rules, Human-in-the-loop gates, Codex + Claude workflows, OpenClaw orchestration
Cloud + reliability
Thin apps on top of scheduled and on-demand compute, scoped access, monitored jobs, and failure paths that recover.
Cloud Run jobs + services, Cloud Scheduler, BigQuery + Cloud Storage, Queues + retries, IAM + Secret Manager, Health + monitoring, Migrations + rollback, Playwright + pytest
Commerce + integrations
Store, inventory, workspace, messaging, and reporting systems connected into one controlled workflow.
Shopify GraphQL + REST, Google Workspace, Slack, Webhooks + APIs, OAuth, Operational reporting