
Developed the foundational backend for the Hackaton-Yad-Tamar/Back repository, focusing on a Requests API that streamlines resource allocation and volunteer matching. Leveraging Python, FastAPI, and PostgreSQL, the work included building CRUD operations, integrating database models with SQLAlchemy, and optimizing read performance through eager loading. Added a vehicle requirement field to the request model and introduced an endpoint that calculates match percentages based on volunteer preferences, filtering for approved users and active requests. Enhanced developer experience by updating dependencies and providing clear startup instructions, ensuring smoother onboarding and deployment readiness. The work emphasized maintainability and alignment with business needs.
March 2025 – Hackaton-Yad-Tamar/Back: Delivered foundational API backend for Requests with FastAPI and PostgreSQL, added vehicle requirement tracking and volunteer matching, and improved developer readiness and deployment readiness. These deliverables enable faster reads, smarter resource allocation, and smoother deployment, aligning technical work with business value.
March 2025 – Hackaton-Yad-Tamar/Back: Delivered foundational API backend for Requests with FastAPI and PostgreSQL, added vehicle requirement tracking and volunteer matching, and improved developer readiness and deployment readiness. These deliverables enable faster reads, smarter resource allocation, and smoother deployment, aligning technical work with business value.

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