
Hugo Ferguson developed core features for the Monash-FIT3170/2025W1-PressUp repository, focusing on scalable menu management, scheduling, and finance reporting systems. He designed and implemented MongoDB-backed collections for menus, categories, and inventory, using MeteorJS and Node.js to enable robust CRUD operations, real-time data access, and asynchronous processing. Hugo introduced a scheduling system for automated menu price changes, optimizing backend performance with indexed queries and schema validation. He also delivered a finance module supporting CSV and PDF exports, fiscal-year calculations, and improved formatting. His work demonstrated depth in backend and frontend development, emphasizing maintainability, data integrity, and operational efficiency throughout.

August 2025 performance summary for Monash-FIT3170/2025W1-PressUp. Focused on delivering scalable scheduling, price-change automation, and improved finance reporting, while addressing data integrity and export quality. The work reduces runtime load, accelerates pricing agility, and provides trusted financial data for leadership and ops teams.
August 2025 performance summary for Monash-FIT3170/2025W1-PressUp. Focused on delivering scalable scheduling, price-change automation, and improved finance reporting, while addressing data integrity and export quality. The work reduces runtime load, accelerates pricing agility, and provides trusted financial data for leadership and ops teams.
Delivered a comprehensive Menu Management System enabling scalable menu, categories, and inventory management with real-time data access. Implemented robust CRUD, asynchronous methods, data validations, and publication mechanisms; performed code cleanup and structure standardization to ensure maintainability and future scalability.
Delivered a comprehensive Menu Management System enabling scalable menu, categories, and inventory management with real-time data access. Implemented robust CRUD, asynchronous methods, data validations, and publication mechanisms; performed code cleanup and structure standardization to ensure maintainability and future scalability.
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