Abdullah
Chabaytah

CS student at the University of Toronto, focused on machine learning, systems, and backend engineering.

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Education

2024 — 2028

HBSc in Computer Science

University of Toronto

Minor in Mathematics & Statistics. Expected graduation May 2028.

Relevant Coursework: Data Structures and Algorithms, Theoretical Computation, Software Design, Systems Programming, Linear Algebra, Multivariable Calculus, Probability, Statistics & Data Analysis

Experience

Jan 2025 — Present

Data Labeling/Annotation Contractor

Outlier AI — Remote

  • Contributed to the development of AI/ML training datasets that improved machine learning model performance in areas such as natural language processing and computer vision

May — Sep 2024

Software Developer Intern

Sports Up — Toronto, Canada

  • Engineered a cross-platform iOS application using React Native and Firebase, supporting 100+ users with real-time data synchronization and maintaining 99% uptime under loads of 50 requests/sec
  • Optimized system performance by refactoring backend architecture and UI/UX components, resulting in a 35% reduction in crash rates and a 20% growth in weekly active users
  • Architected end-to-end testing frameworks and analyzed user feedback cycles to drive product roadmap strategy and ensure high-quality feature deployments

Skills

Languages

Python TypeScript/JavaScript C/C++ Java Golang R Kotlin Assembly Rust SQL HTML/CSS

Agents

Anthropic Claude Code OpenAI Codex Google Gemini Cursor Google Antigravity

Frameworks & Libraries

React Node.js TensorFlow PyTorch FastAPI Flask Django Pandas NumPy Matplotlib

Systems & Tools

Docker PostgreSQL Redis Git Unix/Linux CI/CD VS Code PyCharm IntelliJ