Student at U of T | Exergame Dev | Founder @ Predictly
Passionate about creating innovative solutions that bridge technology and real-world impact. From AI-powered applications to healthcare gaming, I build experiences that matter.
Hello and welcome! I'm Daniel Max Rafailov, a third-year Computer Science student at the University of Toronto. I'm passionate about leveraging technology to create meaningful solutions, from healthcare applications to AI-powered platforms.
My journey spans from low-level assembly programming to modern mobile app development, always with a focus on user experience and real-world impact.
Swift, Python, Java, JavaScript, HTML, CSS, C, R, SQL, MIPS Assembly
Git, Unity, SwiftUI, React, Node.js, Supabase, VS Code
Mobile Development, Game Development, AI Integration, Web Development
Team Leadership, Teaching, Analytical Thinking, Bilingual (English/French)
Honours Bachelor of Science - Computer Science
Currently in third year, focusing on software engineering, algorithms, and system design.
Active in various projects and research collaborations.
Collaborating with a PhD candidate in Biomedical Engineering to design modular, gamified robotic rehabilitation experiences. Enhancing games like Flappy Bird, Catch, and Pirate Ship for stroke rehabilitation, with plans to adapt for Meta Quest VR platform.
Designed and developed an AI-powered sports analytics application for iOS using Swift and SwiftUI. Integrated Supabase for real-time data storage and authentication, incorporating AI-driven insights for sports predictions and user engagement.
Creating modern, responsive websites with cutting-edge technologies. From custom designs to complex web applications, I deliver solutions that engage users and drive results.
Developing native iOS applications with Swift and SwiftUI, focusing on intuitive user experiences and robust backend integrations for modern mobile solutions.
Specializing in Unity game development for rehabilitation and educational purposes, creating engaging experiences that serve meaningful purposes in healthcare and learning.
Implementing AI-powered features and analytics to enhance applications with intelligent predictions, data insights, and automated decision-making capabilities.
Providing personalized tutoring in computer science and mathematics, helping students build strong foundations and develop problem-solving skills through practical guidance.
Offering strategic technical guidance for startups and projects, from architecture decisions to technology stack selection and development best practices.
I'm always interested in new opportunities, collaborations, and interesting projects. Whether you want to discuss a potential project or just say hello, I'd love to hear from you!
danielrafailov7@gmail.com
416-970-3358
Toronto, Ontario, Canada