01 / Backend & real-time data
Making fleet data useful in real time.
Backend services, telemetry processing, and event detection for fleet operations at scale.
From vehicle data to operational events
Context
Real-time fleet management systems served 1,000+ active users and processed vehicle weight, position, and telemetry from 5,000+ trucks. This work supported visibility into vehicle operations and the detection of operational events.
My responsibility
I built backend and product capabilities, optimized Node.js services and database queries, and developed event-detection and anti-theft workflows. I also mentored junior engineers to strengthen team delivery.
Engineering approach
- Build backend capabilities around vehicle weight, position, and telemetry data to support real-time fleet management.
- Optimize Node.js services and database queries to improve responsiveness during peak workloads.
- Develop event-detection and anti-theft workflows, alongside better handling of large operational datasets.
Outcome
API response times were reduced by 30% during peak workloads. The fleet management systems served 1,000+ active users and processed telemetry from 5,000+ trucks.