Client: Sustainergy
Role: Full-Stack Developer
Overview #
At Sustainergy, I contributed to the development of a full-stack application aimed at improving energy efficiency in commercial and industrial buildings. My work involved building RESTful APIs with Python/Django for robust back-end functionality and developing an intuitive user interface with Angular. The system provided real-time insights into building energy consumption, helping clients optimize their energy usage and reduce costs.
Challenges and Objectives #
- Scalability and Performance: Optimizing APIs to handle large datasets from multiple facilities.
- User Experience: Designing an interface that simplifies the visualization of energy data for diverse users.
- Data Integration: Centralizing data from various sources, ensuring accuracy and reliability.
My Contributions #
1. Back-End Development #
- Designed and implemented scalable RESTful APIs using Django Rest Framework for real-time energy monitoring and reporting.
- Developed a custom data pipeline to process and aggregate energy usage data from multiple facilities.
- Optimized database queries, resolving N+1 query issues and significantly improving response times.
2. Front-End Development #
- Built user-friendly components using Angular, including dashboards for real-time energy consumption insights and detailed reports.
- Designed and implemented functionality for scheduling, reporting, and energy usage comparisons.
- Refactored existing codebases to improve performance, maintainability, and adherence to modern best practices.
3. Authentication and Security #
- Implemented JWT-based authentication for secure user access and session management.
- Enhanced front-end security with features like auth guards and token refresh mechanisms.
4. Reporting Features #
- Developed dynamic, exportable reports in PDF format, providing clients with actionable insights.
- Integrated real-time charting tools to visualize energy usage trends across multiple parameters.
5. Deployment and Maintenance #
- Automated deployment workflows with Docker and AWS, ensuring smooth releases and robust scaling.
- Debugged and resolved deployment issues, including caching problems and static asset management.
Outcomes and Results #
- Improved Efficiency: Delivered a system capable of processing and visualizing energy data from multiple facilities in real time.
- Enhanced User Experience: Developed intuitive interfaces that empowered users to make data-driven decisions.
- Operational Streamlining: Automated reporting and centralized data access, saving clients time and resources.
Reflection #
s project deepened my expertise in full-stack development, API optimization, and building user-centric interfaces. It also demonstrated the importance of collaborative problem-solving and adaptability in high-stakes development environments.
Technical Summary #
- Languages: Python, JavaScript
- Frameworks: Django, Django Rest Framework, Angular
- Tools: Docker, AWS
- Development Areas: RESTful API Development, UI/UX Design, Data Processing and Visualization
Gallery #
App #
Admin #
PDF Reports #
