IoT Fleet Management Platform
GPS + diagnostics from in-vehicle devices, MQTT/WebSocket ingest, live fleet maps, route-deviation and engine-hours algorithms, React fleet UI.
Role
Technical lead / senior developer
Timeline
4 years
Outcome
Production IoT ingest at fleet scale with live maps and predictive maintenance.
The story
Developed an IoT-powered Connected Vehicle Solution for real-time fleet management, GPS tracking, and predictive diagnostics. Built on the MERN stack with IoT communication protocols (MQTT, WebSockets, REST APIs), the system enables vehicle data collection, storage, and visualization. Features include live fleet maps, engine/battery health monitoring, predictive maintenance alerts, and mobile access for drivers and owners.
Resume (4 years, USA): device-to-server protocols (GT06, AIS140), AWS IoT Core, Azure IoT Hub, Kafka, Redis, S3; route-deviation and machine working-hours algorithms; React + TypeScript + Redux fleet apps; led junior engineers.
Product
Screenshots
Stack