- Developed the application in an MVVM architecture for a modular and scalable code base.- Used Grand Central Dispatch queues to update the UI immediately and avoid any UI lags after fetching the data.- Implemented pagination on several tableviews to reduce server load.

- Used Vision API to implement Barcode Scanner feature that parses barcodes from images and pulls product from server.- Integrated Google Firebase Analytics and Crashlytics to track real-time user’s app usage and any occurrences of app crashes.- Developed a complete UI of the application using Storyboard, including Tab bar and a custom Navigation bar using auto-layout.

- Incorporated MVVM architecture to segregate various application responsibilities.- Integrated Offline-first approach using core data module for enabling user to search different categories of foods by storing data in offline mode- Implemented Firebase Realtime database to update notifications to ensure real time messaging with push notifications.

-Used URLSession to smoothly communicate with REST-based APIs to fetch info like event lineups, maps and profile data.- Used CoreData to save all the events locally for offline support.- Worked closely with QA team for testing and bug fixing