- Outcome
- Time and material data is available in real time, and anomalies surface before payment. Project managers see what's happening on every site, daily.
- Problem
- Workers logged hours manually, which was inaccurate and gave no visibility into material consumption. Anomalies (mismatched quantities, suspicious activity) only surfaced at invoicing — after the fact.
- Solution
- A React Native mobile app with automatic activity tracking (geofencing + sensors), Node.js backend, and AI-driven analytics on resource and material usage with anomaly detection.
OperationsProduction mobile app and backend operations, AI model refinement on real data, iOS + Android build pipelines, and incident response.
StackReact Native · Node.js · TypeScript · PostgreSQL · OpenAI · Azure
RoleFull-Stack Engineer / Architect