I'm a Software Engineer who recently worked at Apple this summer on the VoiceOver accessibility team, advancing assistive technology across Apple platforms. I previously worked at Twitch (Amazon) & Workday on iOS platform development, and won the 2025 Apple Swift Student Challenge. I'm passionate about creating innovative mobile experiences and exploring the intersection of AI, Machine Learning, accessibility, and mobile technology.
My latest fascination has been on Financial Technology (FinTech) systems. 💰
- 🍎 Previously: Software Engineer Intern at Apple - VoiceOver Accessibility Team (Summer 2026)
- 🔭 Previously: Software Engineer Intern at Twitch (Amazon) - Built scalable iOS solutions for 30M+ daily users
- 🏆 Achievement: 2025 Apple Swift Student Challenge Winner with Focus AR project
- 💼 Previously: Software Engineer Intern at Workday - iOS Platform Architecture team
- 🎓 Education: Computer Science at Simon Fraser University (Graduating Dec 2026)
- 📱 Specialization: iOS Development, SwiftUI, ARKit, Mobile Platform Engineering
- 🤖 Interests: AI/ML integration in mobile apps, Computer Vision, AR/VR experiences
- 💡 Focus: Building user-centric applications that enhance digital experiences
- 📫 Reach me: ariel30190@hotmail.com
Areas of focus:
- Supervised & Semi-Supervised Classification — XGBoost ensembles, 1D CNNs, and feature engineering for signal and sensor data
- Anomaly Detection — Autoencoders, one-class SVMs, and softmax confidence thresholding for out-of-distribution detection
- Unsupervised Clustering — DBSCAN-based discovery of novel categories from unlabeled data
- On-Device ML — CoreML and Create ML pipelines for real-time inference on Apple platforms
- Computer Vision — ARKit scene understanding, object detection, and clutter-aware spatial analysis
- Geolocation & Tracking — Nonlinear least-squares trilateration, Kalman filtering, and uncertainty quantification
| Company | Role | Key Achievements |
|---|---|---|
| Apple | Software Engineer Intern | macOS VoiceOver accessibility team to advance assistive technology across Apple platforms. |
| Twitch (Amazon) | Software Engineer Intern | Architected authentication for anonymous sessions, which added 70 million daily minutes watched to the Twitch iOS app. I also engineered networking logic with SwiftUI and UIKit and built dynamic discovery feeds using GraphQL, which resulted in a 30% improvement in content engagement metrics. |
| Workday | Software Engineer Intern | Delivered features in Objective-C & Swift for developer productivity tools. I improved app observability by 75% using Signposts & Combine and refactored classes to adhere to SOLID principles. |
| RAD Torque Systems | Software Developer Intern | Developed a multi-platform search feature with C# & .NET MAUI. I also automated workflows with a Jenkins CI/CD pipeline, which reduced deployment cycles from 2 hours to 10 minutes. |
| Project | Description | Tech Stack | Status |
|---|---|---|---|
| Focus AR | Apple Swift Student Challenge Winner. An iOS app that utilizes ARKit and a custom CoreML model to render interactive 3D objects and provide real-time clutter detection. | ARKit, Vision, CoreML, RealityKit |
GitHub Repo |
| PomoDuo | A synchronized Pomodoro timer for couples using Apple's Screen Time APIs, Firebase real-time sync, Live Activities on Dynamic Island, and full WCAG 2.1 AA accessibility. | SwiftUI, FamilyControls, Firebase, ActivityKit |
GitHub Repo |
| Tourism Beats | An iOS app that leverages MusicKit, WeatherKit, and MapKit to create an immersive tourism experience with dynamic UI animations powered by SwiftUI and SceneKit. | Swift, SwiftUI, MusicKit, WeatherKit, MapKit |
App Store Link / GitHub Repo |
| H.A.R.P. | A real-time signals intelligence system that detects, classifies, and geolocates RF emitters using semi-supervised ML, anomaly detection, and DBSCAN hostile discovery. | Python, PyTorch, XGBoost, FastAPI, Mapbox |
GitHub Repo |
Always excited to collaborate on innovative projects and discuss mobile development!
I love connecting with different people so if you want to say hi, I'll be happy to chat! :)