I'm a Software Engineer and Computer Science student at Simon Fraser University, graduating in December 2026. I most recently worked at Apple on the VoiceOver accessibility team, after iOS internships at Twitch (Amazon) and Workday, and I won the 2025 Apple Swift Student Challenge. I build across mobile, AI/ML, and accessibility.
My latest focus is quantitative finance. I'm building Microprice, a market-making research platform with a C++20 limit order book and a kdb+/q tick store, and NomadFi, a cross-border personal finance engine. 📈
- 🍎 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: Mobile Engineering Intern (iOS) at Workday - iOS Platform Architecture team
- 🎓 Education: Computer Science at Simon Fraser University (Graduating Dec 2026)
- 📱 Specialization: iOS Development, SwiftUI, ARKit, Mobile Platform Engineering
- 📈 Quant: Market microstructure, market making, tick data, and distributed backtesting
- 🤖 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
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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
Areas of focus:
- Market Microstructure — C++20 limit order book and matching engine, streaming an ITCH-style feed over UDP multicast
- Tick Data — kdb+/q tick store for LOBSTER-format order book events, serving as-of joins to Python and R
- Market Making — Avellaneda-Stoikov strategy combining LightGBM and FinBERT NLP signals
- Distributed Backtesting — Parameter sweeps on Apache Spark feeding a cvxpy optimizer
- Personal Finance Modelling — Multi-currency CAD/USD cash-flow forecasting and FX-aware portfolio optimization
| Company | Role | Key Achievements |
|---|---|---|
| Apple | Software Engineer Intern | Integrated coding settings for VoiceOver in Xcode and Terminal, improving code navigation for over 60 million developers. I also authored on-device AI summarization pipelines for Xcode's Debug Console and Terminal, and reduced focus-tracking latency by 35%. |
| Twitch (Amazon) | Software Engineer Intern | Architected authentication for anonymous sessions, which added 250+ 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 | Mobile Engineering Intern (iOS) | 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 | DevOps / Full-Stack 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. |
Always excited to collaborate on innovative projects and discuss mobile, AI/ML, and quant systems!
I love connecting with different people so if you want to say hi, I'll be happy to chat! :)