Welcome to my GitHub profile! I'm a passionate Computer Science student at the University of Toronto, specializing in game development, AI, and full-stack development. I’m always exploring new ways to bring technology and creativity together to solve real-world problems.

You can find me on:

• LinkedIn: Daniel Rafailov
• Website: danielrafailov.netlify.app
• GitHub: danielrafailov1
• Email: [email protected]

• Exergame Development for Stroke Rehabilitation: I'm collaborating with a team at University of Toronto to create gamified rehabilitation experiences for stroke patients. Our aim is to help patients improve motor skills, speech, and cognition using VR and Unity.

• Predictly: I'm building an AI-powered sports analytics iOS app, Predictly, which provides real-time insights and predictions for NFL, NBA, MLB, and EPL games. The app leverages AI to offer dynamic features and predictions, giving users an engaging sports experience.

University of Toronto | May 2025 – Aug 2025
Collaborating with a Biomedical Engineering team to design and develop exergames that improve motor skills and cognition for stroke patients.

• Enhanced VR-based games for Meta Quest using Unity.
• Focused on UI/UX design to make rehabilitation engaging and accessible for patients with neurological disorders.

Self-employed | Apr 2025 – Present
Built an AI-powered sports betting and analytics app for iOS.

• Developed with SwiftUI and integrated Supabase for data synchronization and authentication.
• Used OpenAI API for game event generation and prediction validation.

MIPS Assembly, Mars IDE | Apr 2025

• Replicated the classic Dr. Mario game using MIPS Assembly.
• Implemented core game mechanics like collision detection and gravity simulation.

Python, PyCharm | Apr 2024

• Built a chess engine with minimax search and alpha-beta pruning for efficient AI decision-making.
• Added GUI for visualizing the game board and supporting user-vs-AI gameplay.

Java, IntelliJ | Nov 2024

• Developed a recipe planner that filters based on dietary needs and ingredients.
• Integrated Spoonacular API to provide thousands of recipes and nutritional information.

HTML, CSS, JS | Dec 2024

• Built a responsive personal website to showcase projects and resume.
• Optimized for mobile and desktop views using CSS Flexbox/Grid.

• Languages: Swift, SwiftUI, Python, Java, HTML, CSS, MIPS Assembly, SQL
• Tools: Git, Docker, Supabase, OpenAI API, Docker
• Tech: iOS Development, Full-Stack Development, AI, Game Development, Unity

University of Toronto — HBSc in Computer Science
Expected Graduation: Apr. 2027

• Dean's List 2024, University of Toronto
• Special Admission Scholarship, University of Toronto

Feel free to check out my repositories, and don't hesitate to reach out if you want to collaborate on exciting projects! 🚀