Learner (iOS Developer)

Overview

Selected as 1 of 100 cohort learners from 13,000+ applicants (<1% acceptance rate) to join the Apple Developer Academy at Infinite Learning, an intensive 10-month program focused on designing, developing, and shipping native applications across iOS, watchOS, and macOS. Worked within multidisciplinary teams (pairing developers, UI/UX designers, and researchers) under Apple's Challenge-Based Learning framework. Through these team collaborations, I contributed to several native software projects. One of the primary projects was RONA, an on-device acne recovery tracking assistant. For RONA, I focused on the machine learning pipeline and iOS development: training a YOLO26s model on 14,630 clinical images with 101,730 annotations across 6 acne types, and quantizing it to a 9.3 MB INT8 CoreML model so image analysis runs locally on the Apple Neural Engine without transmitting photos to external servers. Across the other academy challenges, I developed three additional applications: KoalaFit, a watchOS workout companion integrating HealthKit sensors and an interactive avatar that is published on the Apple App Store; WattWise, an iOS appliance electricity budgeting app built in SwiftUI to help shared apartment residents track daily power consumption; and Footsal, a real-time sports ball tracking tool using CoreML and Vision Framework over live iPhone camera feeds.

Tech Stack & Skills

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