
Over three months, contributed to the Dataflux-U-nidos/Backend repository by designing and implementing robust backend features focused on secure data management, user authentication, and analytics. Developed scalable data models and integrated role-based access control using Node.js, TypeScript, and Express.js, ensuring secure CRUD operations and JWT-based authentication. Enhanced the platform with new user roles, campaign management, and education data retrieval, while refactoring authentication flows for improved security. Delivered analytics endpoints, cascading deletes, and dashboard APIs, emphasizing maintainable code and data integrity. The work established a foundation for multi-tenant access, streamlined onboarding, and enabled targeted reporting and satisfaction survey workflows across the platform.
May 2025 focused on strengthening data integrity, security, and analytics capabilities in Dataflux-U-nidos/Backend. Delivered authenticated user deletion with cascading deletes and a role-validated delete route; added total investment analytics with RBAC-protected endpoints; improved comments data model with majorId/userId linkage and DTO-consistent responses; enabled platform-wide statistics and satisfaction surveys with DTOs and end-to-end flow; launched foundational dashboard endpoints backed by mock data. These workstreams collectively enhance data governance, reporting precision, and the foundation for business insights.
May 2025 focused on strengthening data integrity, security, and analytics capabilities in Dataflux-U-nidos/Backend. Delivered authenticated user deletion with cascading deletes and a role-validated delete route; added total investment analytics with RBAC-protected endpoints; improved comments data model with majorId/userId linkage and DTO-consistent responses; enabled platform-wide statistics and satisfaction surveys with DTOs and end-to-end flow; launched foundational dashboard endpoints backed by mock data. These workstreams collectively enhance data governance, reporting precision, and the foundation for business insights.
April 2025 — Dataflux-U-nidos/Backend: Delivered three core backend enhancements to strengthen security, enable scalable role-based access, and empower education data workflows. The work focused on new user roles, a refactored authentication/authorization flow, and campaign/education data retrieval capabilities. Key features delivered: - User Roles and Management System: Introduced new roles (TUTOR, UNIVERSITY, INFOMANAGER) and relationships (students↔tutors; infomanagers/viewers↔universities). Refactored domain models and updated DTOs/entities for the new roles. Commit: b7ab159c0727df77d3944e8506c9f911545bc709 (Add support for TUTOR user type) [#77]. - Authentication and Authorization Refactor: Migrated token management to Authorization header, updated DTOs/services to carry userId in JWT, and adjusted controllers to read tokens from the header for improved security. Commit: f2aa47baaf8ce0608c9af88eb25d411f44e8ab64 (Replacing cookies with authorization header) [#80]. - Campaign Management and Education Data Retrieval: Added campaigns use cases, DTOs, repositories, models, controllers, routes; refactored major entities to integrate user retrieval for creation; introduced GetMajorsByInstitution use case, controller method, and router endpoint. Commit: 0109e637ddadc6d6e99528506190aa3b716433a0 (Adds campaign use cases and controller; refactor major entity; Add GetMajorsByInstitution) [#87]. Major bugs fixed: - Security risk mitigations by removing cookie-based auth in favor of header-based JWT tokens; token handling now centralized in Authorization header, reducing CSRF risks and session leakage. - DTO/entity consistency improvements and refactoring to align with new roles, reducing data mismatches in user creation and association flows. Overall impact and accomplishments: - Strengthened security posture with token-based authentication and role-aware access, enabling safer multi-tenant usage. - Enhanced data modeling and relationships for tutors, universities, and infomangers, enabling precise access controls and streamlined onboarding of new roles. - Expanded education data workflows with campaigns and major retrieval by institution, enabling targeted program communications and analytics. - Improved maintainability and scalability through use-case driven design, controller-route clarity, and consistent DTOs/entities. Technologies/skills demonstrated: - JWT-based authentication and Authorization header usage; header-scoped token processing - Role-based access control modeling and refactoring of domain entities/DTOs - REST controllers, use cases, repositories, and router endpoints - Data-driven campaign workflows and institution-level major retrieval integration
April 2025 — Dataflux-U-nidos/Backend: Delivered three core backend enhancements to strengthen security, enable scalable role-based access, and empower education data workflows. The work focused on new user roles, a refactored authentication/authorization flow, and campaign/education data retrieval capabilities. Key features delivered: - User Roles and Management System: Introduced new roles (TUTOR, UNIVERSITY, INFOMANAGER) and relationships (students↔tutors; infomanagers/viewers↔universities). Refactored domain models and updated DTOs/entities for the new roles. Commit: b7ab159c0727df77d3944e8506c9f911545bc709 (Add support for TUTOR user type) [#77]. - Authentication and Authorization Refactor: Migrated token management to Authorization header, updated DTOs/services to carry userId in JWT, and adjusted controllers to read tokens from the header for improved security. Commit: f2aa47baaf8ce0608c9af88eb25d411f44e8ab64 (Replacing cookies with authorization header) [#80]. - Campaign Management and Education Data Retrieval: Added campaigns use cases, DTOs, repositories, models, controllers, routes; refactored major entities to integrate user retrieval for creation; introduced GetMajorsByInstitution use case, controller method, and router endpoint. Commit: 0109e637ddadc6d6e99528506190aa3b716433a0 (Adds campaign use cases and controller; refactor major entity; Add GetMajorsByInstitution) [#87]. Major bugs fixed: - Security risk mitigations by removing cookie-based auth in favor of header-based JWT tokens; token handling now centralized in Authorization header, reducing CSRF risks and session leakage. - DTO/entity consistency improvements and refactoring to align with new roles, reducing data mismatches in user creation and association flows. Overall impact and accomplishments: - Strengthened security posture with token-based authentication and role-aware access, enabling safer multi-tenant usage. - Enhanced data modeling and relationships for tutors, universities, and infomangers, enabling precise access controls and streamlined onboarding of new roles. - Expanded education data workflows with campaigns and major retrieval by institution, enabling targeted program communications and analytics. - Improved maintainability and scalability through use-case driven design, controller-route clarity, and consistent DTOs/entities. Technologies/skills demonstrated: - JWT-based authentication and Authorization header usage; header-scoped token processing - Role-based access control modeling and refactoring of domain entities/DTOs - REST controllers, use cases, repositories, and router endpoints - Data-driven campaign workflows and institution-level major retrieval integration
March 2025 monthly summary for Dataflux-U-nidos/Backend: Key features delivered, major fixes, impact, and skills demonstrated. Focus on business value and technical achievements.
March 2025 monthly summary for Dataflux-U-nidos/Backend: Key features delivered, major fixes, impact, and skills demonstrated. Focus on business value and technical achievements.

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