Presso

Overview

Fleet Monitoring Platform

Robotic fleets generate constant, high frequency machine data, but raw telemetry alone does not enable decisions. I designed and built Presso’s fleet monitoring platform end to end, translating live robotic signals into clear, decision ready insight for human teams long before AI assisted tooling existed.

I architected the system across frontend, backend, and data layers. This included a real time monitoring dashboard built through four major design iterations, a resilient API layer for high frequency telemetry, and a scalable database architecture designed to grow without sacrificing integrity. Every layer was implemented manually with a focus on clarity, stability, and operational trust.

Impact

• Scale: End to end fleet monitoring platform spanning frontend, backend, and data infrastructure
• Outcome: Reliable operational intelligence delivered through deliberate design, manual iteration, and resilient architecture