Liam Brennan

iOS and watchOS run tracking app with HealthKit integration, MapKit route visualization, and CloudKit sync. Built solo and available on the App Store.

• —Built end-to-end in SwiftUI with a companion WatchKit app — live pace, heart rate, and split tracking synced in real time over the Watch Connectivity framework.
• —Implemented offline-first architecture using Core Data + CloudKit sync so runs are stored locally and pushed to iCloud when connectivity is restored.
• —Designed a coaching insights screen that uses HealthKit trends to surface weekly load, recovery score, and pace improvement over rolling 4-week windows.

Local-first iOS password manager with AES-GCM encryption via CryptoKit, Keychain-stored master key, and Face ID / Touch ID authentication.

• —Implemented end-to-end encryption using CryptoKit — all vault entries are encrypted with AES-GCM before being written to Core Data, with the master key stored in the Keychain.
• —Added Face ID / Touch ID authentication via LocalAuthentication framework with fallback PIN entry and brute-force lockout after 5 failed attempts.
• —Built a password generator with configurable entropy, a strength meter, and clipboard-clear-on-background behavior for security.

Minimal habit tracker built in SwiftUI with custom animations, WidgetKit home screen widget, and Combine-based local notification scheduling.

• —Built custom SwiftUI animations for habit completion — satisfying spring-physics checkmarks, streak fire effects using Canvas API, and fluid list reordering transitions.
• —Added a WidgetKit home screen widget showing today's habits and completion progress — updates dynamically using App Groups shared Core Data store.
• —Implemented a Combine-based habit scheduling system that fires local notifications at user-configured times with intelligent snooze and skip logic.

Restaurant discovery app with MapKit annotations, ARKit augmented reality overlay for nearby venues, and Firebase Firestore real-time data.

• —Built a MapKit-based discovery view with custom annotation callouts, cluster handling, and smooth camera transitions between user location and selected venue.
• —Implemented an ARKit overlay mode that places floating restaurant cards in the real world using RealityKit anchors, readable at a distance with adaptive scaling.
• —Used Firebase Firestore for real-time venue data and Firebase Auth for user accounts, with Google Sign-In integration.