
Over a two-month period, contributed to AirmidITDoc/HIMS_API_CODE by delivering eight backend features focused on healthcare scheduling, inventory management, and operational reporting. Developed and refactored API endpoints, service layers, and controller logic using C# and Entity Framework, emphasizing DTO-driven data modeling and dependency injection for maintainability. Implemented phone-based appointment workflows, prescription data integration, canteen request listings, and material consumption reporting, all backed by robust database interaction with SQL and stored procedures. Enhanced master data permissions and standardized data contracts to improve governance and data integrity. The work prioritized scalable architecture, clear data flows, and business value without introducing critical bugs.
December 2024 (AirmidITDoc/HIMS_API_CODE) delivered three core features driving inventory accuracy, governance, and data integrity, with a focus on business value and maintainable backend architecture. Implemented end-to-end Inventory Movement Tracking and stock reporting, enhanced master data permissions and administration controls, and standardized DTOs/data models to improve consistency and integration readiness. These efforts reduce manual reconciliation, strengthen access governance, and enable faster analytics and onboarding of new master data. No critical bugs were reported; work emphasizes scalable design, API quality, and dependable data contracts. Technologies demonstrated include DTO-driven service and API layer design, dependency injection patterns, REST endpoints, and admin services for governance.
December 2024 (AirmidITDoc/HIMS_API_CODE) delivered three core features driving inventory accuracy, governance, and data integrity, with a focus on business value and maintainable backend architecture. Implemented end-to-end Inventory Movement Tracking and stock reporting, enhanced master data permissions and administration controls, and standardized DTOs/data models to improve consistency and integration readiness. These efforts reduce manual reconciliation, strengthen access governance, and enable faster analytics and onboarding of new master data. No critical bugs were reported; work emphasizes scalable design, API quality, and dependable data contracts. Technologies demonstrated include DTO-driven service and API layer design, dependency injection patterns, REST endpoints, and admin services for governance.
November 2024 — End-to-end delivery across phone-based scheduling, prescription data management, canteen operations, material consumption reporting, and stock auditing in AirmidITDoc/HIMS_API_CODE. Implemented DTO-driven data models, API endpoints, and service/controller wiring with stored procedures to enable scalable, auditable workflows. This release delivers tangible business value by improving patient flow, pharmacy/inventory visibility, cafe operations, and operational reporting.
November 2024 — End-to-end delivery across phone-based scheduling, prescription data management, canteen operations, material consumption reporting, and stock auditing in AirmidITDoc/HIMS_API_CODE. Implemented DTO-driven data models, API endpoints, and service/controller wiring with stored procedures to enable scalable, auditable workflows. This release delivers tangible business value by improving patient flow, pharmacy/inventory visibility, cafe operations, and operational reporting.

Overview of all repositories you've contributed to across your timeline