DataBytes-Organisation/Intelligent-IoT-Data-Management
May 2026 – May 2026
1 Month active
Languages Used
JavaScriptMarkdownPythonSQLplaintext
Technical Skills
API developmentDjangoDockerExpress.jsNodeNode.js
Arjun-deakin
PROFILE
Arjun-deakin
Worked on the DataBytes-Organisation/Intelligent-IoT-Data-Management repository to deliver a Docker-based IoT platform architecture that integrates a Node.js frontend, Django backend, and PostgreSQL database. Developed new private APIs for health checks and data stream insights, including endpoints for system status, stream discovery, and data profiling, all validated with smoke tests to ensure reliability. Enhanced deployment readiness by implementing monitoring and configuration for alerting and system health checks, improving observability across the stack. Updated project documentation to align with the evolving scope, removing obsolete artifacts and clarifying direction. Utilized JavaScript, Python, and Docker throughout the full stack development process.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
217,887
Activity Months1
Your Network
25 peopleShared Repositories
25
Work History
May 2026
5 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DataBytes-Organisation/Intelligent-IoT-Data-Management. Focused on delivering a cohesive Docker-based IoT platform architecture, expanding private APIs for health and data stream insights, and cleaning up documentation to reflect project direction. Highlights include a Docker-based stack (Node.js frontend, Django backend, PostgreSQL) with monitoring and health checks, new health check and data stream insight APIs with smoke tests, and documentation housekeeping to remove obsolete artifacts and align scope. These efforts improve deployment reliability, observability, API capabilities, and maintainability, driving faster, safer data-driven decisions.
5 Commits • 2 Features
May 1, 2026May 2026 monthly summary for DataBytes-Organisation/Intelligent-IoT-Data-Management. Focused on delivering a cohesive Docker-based IoT platform architecture, expanding private APIs for health and data stream insights, and cleaning up documentation to reflect project direction. Highlights include a Docker-based stack (Node.js frontend, Django backend, PostgreSQL) with monitoring and health checks, new health check and data stream insight APIs with smoke tests, and documentation housekeeping to remove obsolete artifacts and align scope. These efforts improve deployment reliability, observability, API capabilities, and maintainability, driving faster, safer data-driven decisions.
May 2026
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture96.0%
Performance92.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPythonSQLplaintext
Technical Skills
API developmentDjangoDockerExpress.jsNodeNode.jsPostgreSQLReactbackend developmentdata sciencedocumentation managementfull stack development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline