Learner (ML Engineer & iOS Developer)

Overview

Selected as 1 of 100 learners from 13,000+ national applicants (<1% acceptance rate) to join Apple Developer Academy @ Infinite Learning, an intensive 10-month Apple-sponsored talent scholarship program. Focused on designing, developing, and shipping native iOS applications using the Apple ecosystem. Spearheaded RONA — an on-device AI-powered acne recovery assistant built entirely with SwiftUI and CoreML. The app utilizes a quantized YOLO26s model (only 9.3 MB) trained on 14,630 clinical dermatology images with 101,730 bounding box annotations across 6 clinical acne classes for real-time skin analysis, delivering personalized skincare recovery plans directly on-device without cloud dependency. Gained deep hands-on experience with Swift 6, SwiftUI, Vision Framework, CoreML model integration, and the full Apple development lifecycle from ideation to TestFlight deployment. Completed 4 progressive challenges: KoalaFit (watchOS), WattWise (SwiftUI), Footsal (CoreML real-time tracking), and RONA (Computer Vision).

Tech Stack & Skills

• Swift 6
• SwiftUI
• CoreML
• Vision Framework
• YOLO26s
• PyTorch
• Python