
Zijad Sehic developed core backend features for the SI-2025-AIRLINE/Backend repository, focusing on robust data modeling and customer support infrastructure. Over two months, he expanded and seeded the airline data model, refactored user management, and introduced dedicated models for customers, flights, and fares using C#, SQL, and Entity Framework Core. His work included secure configuration management and database migrations to streamline deployment. In May, he delivered an end-to-end customer support ticketing system, implementing domain models, controllers, and APIs to manage ticket lifecycles. The depth of his contributions established clear domain boundaries and improved data onboarding and support workflows.

May 2025: Delivered foundational Airline Customer Support Ticketing System in SI-2025-AIRLINE/Backend. Implemented Ticket and TicketContent domain models, DTOs, and controller logic, plus DB migrations, enabling creation, retrieval, and management of customer support tickets. This establishes a robust customer support infrastructure, centralizes ticket data, and lays groundwork for SLA tracking, analytics, and improved response times. Key commits include adding Ticket models and enabling ticket lifecycle support.
May 2025: Delivered foundational Airline Customer Support Ticketing System in SI-2025-AIRLINE/Backend. Implemented Ticket and TicketContent domain models, DTOs, and controller logic, plus DB migrations, enabling creation, retrieval, and management of customer support tickets. This establishes a robust customer support infrastructure, centralizes ticket data, and lays groundwork for SLA tracking, analytics, and improved response times. Key commits include adding Ticket models and enabling ticket lifecycle support.
April 2025 focused on strengthening the airline backend data model, pricing architecture, and deployment security, while improving model clarity and API scaffolding. Key outcomes: expanded and seeded Airline data model; refactored User model; added Customer and Flight models with seeds and scaffolding; introduced a dedicated Fares table and cleaned up migrations; externalized sensitive configuration for secure deployments. Minor no-op commit noted for traceability. Overall impact: faster data onboarding, clearer domain boundaries, and improved deployment readiness.
April 2025 focused on strengthening the airline backend data model, pricing architecture, and deployment security, while improving model clarity and API scaffolding. Key outcomes: expanded and seeded Airline data model; refactored User model; added Customer and Flight models with seeds and scaffolding; introduced a dedicated Fares table and cleaned up migrations; externalized sensitive configuration for secure deployments. Minor no-op commit noted for traceability. Overall impact: faster data onboarding, clearer domain boundaries, and improved deployment readiness.
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