Role fit
iOS engineer focused on Swift, SwiftUI, UIKit, MVVM, REST APIs, reusable UI, debugging, and app architecture.
iOS-first software engineer with internship experience, 46 Swift repositories, and a portfolio of SwiftUI, MapKit, Core ML, API-driven, and product-focused work. I like building apps that feel useful, clear, and ready for real users.
My name is Jibryll Brinkley. I am an iOS-first software engineer with a B.S. in Applied Computer Science and an iOS concentration. I am also completing an AAS in Artificial Intelligence, expected August 2027.
I build native iOS apps with Swift, SwiftUI, UIKit, MVVM, APIs, and Apple frameworks. My AI and Python work supports that product engineering focus.
SwiftUI internship experience, 46 Swift repositories, Apple framework work, and supporting AI/Python skills.
iOS engineer focused on Swift, SwiftUI, UIKit, MVVM, REST APIs, reusable UI, debugging, and app architecture.
2 iOS internships spanning SwiftUI features, Figma-to-code work, secure API integration, and Agile delivery.
46 Swift repositories across SwiftUI, UIKit, networking, persistence, Apple frameworks, and production-style apps.
iOS internships, secure mobile systems, and AI evaluation work.
Swift, SwiftUI, UIKit, MVVM, APIs, persistence, testing, Apple frameworks, and supporting AI/Python.
Native iOS work first, with selected AI, ML, web, and client projects.
A SwiftUI app for discovering NASA’s Astronomy Picture of the Day and exploring space imagery from NASA’s media library.
NASA provides multiple public APIs, but their content is spread across different services and can be difficult to explore from one mobile experience.
Built a polished iOS app that combines NASA’s daily astronomy content, searchable media library, detailed image views, and saved discoveries in one accessible experience.
Built with SwiftUI and MVVM. Observable view models manage UI state, service types handle networking, Codable models represent API responses, and SwiftData provides local persistence.
Integrated two NASA APIs with different response structures, handled image and video APOD content, decoded nested JSON, managed asynchronous loading states, and displayed remote media reliably.
Used AsyncImage for straightforward remote-image loading and SwiftData for lightweight on-device persistence. More advanced image caching and offline synchronization are planned improvements.
Delivered a reusable, API-driven SwiftUI application with clear separation of concerns, persistent saved content, responsive loading states, and a polished space-inspired interface.
Designed and developed the complete iOS experience, including the user interface, MVVM architecture, API integrations, data models, persistence, error handling, and visual polish.
Demonstrates my ability to build a production-style SwiftUI app that integrates real-world APIs, uses async/await, manages application state, persists user data, and presents complex content through a polished UI.
Public work across native iOS apps, API integrations, and supporting AI/ML projects.
Native iOS apps, API integrations, and supporting Python AI/ML systems.
Swift, SwiftUI, UIKit, MapKit, Core ML, SwiftData, MVVM, reusable UI, networking, and persistence.
→ SwiftUI & UIKit
→ MapKit & Core Location
→ Core ML & Apple AI frameworks
→ REST APIs, URLSession & async/await
→ SwiftData & local persistence
→ Reusable UI views and components
→ MVC and MVVM architecture