• I’m an Artifical Intelligence grad, now a learner at Apple Developer Academy @UNINA Federico II.
• Solving real-world challenges using technology is my thing.

• Artificial Intelligence and Machine Learning - I’ve worked on Apple platform apps that tap into cutting-edge AI/ML frameworks like CreateML, CoreML, and Natural Language.
• Spatial Computing - I have hands-on experience creating spatial apps for Apple platforms with ARKit and RealityKit.

• MLX Swift - A swift-native framework designed to light weight Large Language Models directly on Apple devices.
• Foundation Models - An Apple framework that lets you tap into on-device LLM that powers Apple Intelligence.
• RealityKit - More advanced capabilities of RealityKit.
• Metal - Writing custom shaders using Metal.

• SwiftUI - A declarative framework to build beautiful, reactive user interfaces across Apple platforms.
• SwiftData - Apple’s lightweight, Swift-native framework for local data persistence and model-driven apps.
• Swift Charts - A flexible framework to create beautiful, animated charts and data visualizations in SwiftUI.
• MapKit - A framework for embedding interactive maps and location-based features into your app.
• HealthKit - A secure framework for managing, sharing, and analyzing health and fitness data across Apple devices.
• SceneKit - A 3D graphics framework for building immersive scenes, animations, and visualizations on Apple platforms.
• Core Haptics – Framework for creating rich, dynamic haptic feedback to enhance user interactions.
• AVFoundation – Apple’s comprehensive framework for handling media playback, audio, and speech synthesis in apps.

I’m currently building Distraction Dodge, a focus training app that simulates real-world distractions like notifications and short-form videos to help users improve their attention span. It’s built with ARKit’s eye-tracking on iPadOS and adapted leveraging indirect gestures, for spatial computing in visionOS.

If you understand the problem, that’s half the battle.