Spencer Belton

Spencer Belton

$12/hr
SwiftUI Expert | iOS App Development
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
27 years old
Location:
Fort Collins, Colorado, United States
Experience:
5 years
Spencer Belton iOS Developer-| - | Fort Collins, Colorado LinkedIn | Portfolio Website | GitHub Summary Seasoned iOS developer with 5+ years of experience crafting immersive mobile applications. Proven expertise in SwiftUI and a commitment to delivering exceptional user experiences. Accumulated over 1500 users in one app without marketing or running advertisements. Seeking growth opportunities with a remote or hybrid team. Technical Skills Swift, SwiftUI, UIKit, GitHub, JSON, XML, CocoaPods, Firebase, OOP, Agile Development, XCTest, UX/UI Design, RESTful APIs, MVC, MVVM, MapKit, EventKit, OpenAI, Google Places API, Spotify API Relevant Work Experience Konoha Koders LLC iOS Developer January 2022 – Current Spooky Spots | View on GitHub | View on App Store - Engineered a captivating SwiftUI app connecting users to haunted hotels, boasting over 1500 App Store downloads with a remarkable 0% crash rate. - Implemented innovative features such as a trip planner, resulting in a 20% increase in user retention and a 15% rise in daily active users. - Conducted extensive user testing, achieving a 95% positive feedback rating and a 10% reduction in user-reported issues. - Employed the MVVM architectural pattern, ensuring scalable and maintainable code. - Actively contributed to app marketing efforts, resulting in increased app visibility and downloads. Schnoz | View on GitHub | View on App Store - Crafted and managed Schnoz, a SwiftUI app for restaurant ventilation reviews, utilizing Firebase, Google Places API, Yelp API, and TripAdvisor API, resulting in a 4.85-star rating on Upwork. - Collaborated closely with the client, maintaining open communication channels throughout the project, leading to project refinement. - Enhanced user-friendly search functionality and boosted app responsiveness by integrating the Google Places API, resulting in a 20% increase in app responsiveness with reduced data usage through snapshot listeners. - Implemented the MVVM architectural pattern, ensuring scalable and maintainable code, and reducing development time by 25% for new features and updates. Morning Formula | View on GitHub - Developed a dynamic SwiftUI app leveraging OpenAI, EventKit, and Spotify API to offer personalized time management solutions, enhancing user productivity and organization. - Engineered a cutting-edge video builder utilizing OpenAI technology, transforming images and data into personalized videos with text-to-speech overlay using AVFoundation, offering users a unique and engaging experience. - Integrated the Spotify API to provide personalized song recommendations within the app, significantly boosting user engagement and retention. - Utilized EventKit to implement in-app tracking and management of goals and tasks, delivering a comprehensive time management tool for users to effectively manage their schedules and priorities.
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