Worked in a distributed, multinational team on refactoring, maintaining, and implementing new features for the largest fast food app, which has over 150 million active users worldwide.Refactored and rewrote a standalone module, adhering to the highest standards and best practices.Investigated, debugged, and successfully resolved a series of complex, non-trivial bugs within the app.Technologies used: Swift, SwiftUI, Combine, UIKit, MVVM, GCD, Unit Testing, CocoaPods.

Refactored a large codebase using both automated tools (SwiftLint, SwiftFormat) and manual methods, resulting in improved app stability and a significant reduction in crash rates.Collaborated with designers and backend developers to implement dozens of new features.Led and mentored a team of four iOS developers, conducting regular code reviews and providing optimal solutions for upcoming tasks.Technologies used: Swift, Objective-C, UIKit, StreamChat SDK, ChatSDK, MVVM, Stripe, RxSwift, Realm, REST API, Alamofire, GCD, Crash Dump Analysis, Firebase Cloud Messaging, APNS, CocoaPods.

Took part in the development of several native apps including Yontent, Jezter, Waiter Genius (Restaurant app), NTE (Notes To Email), Merrier, WOD (Workout of the Day), VNTG (GoBack), and others.Technologies used: Swift, Objective-C, UIKit, MVVM, Realm, REST API, Alamofire, GCD, Push Notifications, CocoaPods.

Contributed to feature development for several apps, including Blood Pressure Monitor, Pedometer, and a social networking app.Technologies used: Objective-C, Swift, C, UIKit, SQLite, MVVM, MVC, HealthKit, CoreMotion, CoreLocation, CoreData, GCD, CocoaPods.

Contributed to R&D for an experimental offline, real-time voice recognition and translation app, leveraging on-device machine learning models when it wasn't mainstream yet (2013-2014 years).Co-developed an application for VoIP calls with near-real-time voice recognition (supporting English and Danish) as part of a two-person iOS development team.Worked on modification and customization of Linphone – a chat messaging and VoIP open-source library.Developed three apps from scratch: PlumTree, Everporter, and Dictaphone.Technologies used: Objective-C, Swift, C, UIKit, SQLite, MVVM, MVC, CMUSphinx Speech Recognition, Politepix OpenEars, Dragon Speech Recognition, Linphone, GCD, REST API, AFNetworking, CocoaPods.