
Jan Nieves developed core features for the uprm-inso4101-2024-2025-s2/semester-project--uprm-lost-and-found repository over three months, focusing on backend and frontend integration. He established a modular backend data layer using Python, FastAPI, and SQLAlchemy, enabling scalable user management and data access. Jan implemented RESTful APIs for lost item reporting, real-time retrieval, and user self-service management, connecting these endpoints to dynamic JavaScript-driven frontend components. His work included database design, password hashing, and UI/UX enhancements, allowing users to submit, view, edit, and delete lost items. The features delivered robust, maintainable workflows without major bugs, demonstrating solid engineering depth.

May 2025: End-to-end feature delivery in the Lost Items module for uprm-inso4101-2024-2025-s2/semester-project--uprm-lost-and-found. Implemented Lost Items Management with a detailed View Details modal and new API endpoints for editing and deleting items, with frontend support. Added a see more button to access item details. No major bugs reported this month; focus was on delivering robust UX and API surface. Impact: enhances user self-service, improves data accuracy, and reduces admin overhead by enabling users to manage reported items directly within the app. Technologies/skills demonstrated include frontend-backend integration, REST API design, and modal-based UI with traceable commits.
May 2025: End-to-end feature delivery in the Lost Items module for uprm-inso4101-2024-2025-s2/semester-project--uprm-lost-and-found. Implemented Lost Items Management with a detailed View Details modal and new API endpoints for editing and deleting items, with frontend support. Added a see more button to access item details. No major bugs reported this month; focus was on delivering robust UX and API surface. Impact: enhances user self-service, improves data accuracy, and reduces admin overhead by enabling users to manage reported items directly within the app. Technologies/skills demonstrated include frontend-backend integration, REST API design, and modal-based UI with traceable commits.
In April 2025, delivered end-to-end Lost Items Reporting and Real-Time Retrieval feature for the Lost and Found project. Implemented a backend API endpoint to submit lost items and a frontend display that retrieves and shows current items in real-time, enabling users to report lost items and view listings. Achieved seamless frontend-backend integration and live item visibility, setting the foundation for faster item recovery and enhanced user trust. No major bugs reported; focused on delivering business value through robust API design and responsive UI. Technologies demonstrated include RESTful API development, frontend-backend integration, real-time data presentation, and commit-level traceability.
In April 2025, delivered end-to-end Lost Items Reporting and Real-Time Retrieval feature for the Lost and Found project. Implemented a backend API endpoint to submit lost items and a frontend display that retrieves and shows current items in real-time, enabling users to report lost items and view listings. Achieved seamless frontend-backend integration and live item visibility, setting the foundation for faster item recovery and enhanced user trust. No major bugs reported; focused on delivering business value through robust API design and responsive UI. Technologies demonstrated include RESTful API development, frontend-backend integration, real-time data presentation, and commit-level traceability.
March 2025: Delivered foundational backend data layer and user management scaffolding for the Lost and Found project. Established a modular DAO/Handler architecture, created placeholder models and APIs for users, found items, lost items, and matches, and wired a temporary SQLite database to accelerate iteration. This groundwork enables scalable data access, maintainable code organization, and faster feature rollout across the repository.
March 2025: Delivered foundational backend data layer and user management scaffolding for the Lost and Found project. Established a modular DAO/Handler architecture, created placeholder models and APIs for users, found items, lost items, and matches, and wired a temporary SQLite database to accelerate iteration. This groundwork enables scalable data access, maintainable code organization, and faster feature rollout across the repository.
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