- Design and implement backend services that ingest, normalize, and persist high-volume telemetry using event-driven and MQTT-based pipelines.
- Implement secure authentication and bi-directional communication for commands and diagnostics, designed for intermittent connectivity.
- Integrate edge AI outputs (range prediction, health monitoring) into cloud services and surface them explainably in a Fleet Portal UI.
- Architect robust MQTT communication protocols for data exchange between the eAPU and various external devices/cloud services.
- Act as the technical "right-hand" to the leadership team, making pragmatic trade-offs between speed, reliability, and simplicity.
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