
Developed the IoT Data Backend API Prototype for the DataBytes-Organisation/Intelligent-IoT-Data-Management repository, focusing on backend infrastructure for managing IoT data workflows. Built with Express.js and Node.js, the prototype established REST API endpoints to fetch all data streams, retrieve stream names, and filter data by stream name. A mock repository layer was implemented to read from a local JSON file, supporting rapid prototyping and offline testing scenarios. This foundational API surface enabled integration with downstream analytics and facilitated faster iteration on IoT data management features. The work emphasized modular backend development and practical use of JavaScript for scalable data interaction.
August 2025 monthly summary: Delivered the IoT Data Backend API Prototype for the DataBytes Intelligent IoT Data Management project. Implemented a foundational Express.js backend with routes and controllers to manage mock IoT data (fetch all streams, retrieve stream names, and filter data by stream name). A mock repository reads data from a local JSON file to enable rapid prototyping and offline testing of data interactions. This establishes a solid API surface for downstream services and analytics, enabling faster iteration and validation of IoT data workflows.
August 2025 monthly summary: Delivered the IoT Data Backend API Prototype for the DataBytes Intelligent IoT Data Management project. Implemented a foundational Express.js backend with routes and controllers to manage mock IoT data (fetch all streams, retrieve stream names, and filter data by stream name). A mock repository reads data from a local JSON file to enable rapid prototyping and offline testing of data interactions. This establishes a solid API surface for downstream services and analytics, enabling faster iteration and validation of IoT data workflows.

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