
Developed the initial backend architecture for solving Game Theory and Stable Matching problems within the GA-Application-Java repository, focusing on establishing a scalable foundation for future experimentation and deployment. Leveraged Java and Spring Boot to implement core backend logic, while utilizing Docker and Maven to streamline development workflows and ensure consistent environments. Authored comprehensive configuration files, documentation, and setup scripts in Shell and YAML, facilitating easier onboarding and maintainability for new contributors. The work emphasized clear API design and robust project structure, enabling rapid prototyping of matching algorithms and providing a clear path toward production deployment for the application’s backend services.
April 2026 monthly summary focused on delivering the initial backend for Game Theory and Stable Matching within the GA-Application-Java project. Completed a Spring Boot backend architecture to support solving Game Theory and Stable Matching problems, accompanied by essential configurations, documentation, and setup scripts to facilitate development and deployment. This work lays the foundation for scalable experimentation, faster onboarding, and a clearer path to production deployment.
April 2026 monthly summary focused on delivering the initial backend for Game Theory and Stable Matching within the GA-Application-Java project. Completed a Spring Boot backend architecture to support solving Game Theory and Stable Matching problems, accompanied by essential configurations, documentation, and setup scripts to facilitate development and deployment. This work lays the foundation for scalable experimentation, faster onboarding, and a clearer path to production deployment.

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