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High Performance Computing
Skills: C++, Multithreading, Data Structures, Simulation
Multithreaded particle physics engine for computing forces among thousands of particles in real-time. Rigorously optimized for efficiency.
Full Stack
Skills: Swift, Objective-C, Node.js, SQL
Full stack application with secure user authentication and storage with Node.js and PostgreSQL. Workout builder, dashboard, and AI Assistant with dynamic semantics fetching built in Swift.
Machine Learning
Skills: Machine Learning, TensorFlow, AWS, Computer Vision
Trained and optimized a vision model for accurately detecting cases of COVID-19 and viral pneumonia from lung x-rays, at a size deployable on mobile hardware.
Engineered a quantum-assisted blockchain consensus protocol with an associated research paaper under the supervision of Dr. Barbeau.
Contributed to Chimoney's global payment platform by implementing a modular iOS SDK in Swift. Leveraged Alamofire, XCTest frameworks, and authored documentation for integration.
Developed a compact Neural Network for COVID-19 and viral pneumonia diagnosis, achieving 97.55% accuracy with a model optimized for mobile hardware deployment.
Designed and implemented secure file-sharing systems utilizing network-attached storage with role-based access control. Resolved point-of-sale issues and upgraded systems.
Pursued a B.C.S at Carleton University with the C.J. Mackenzie Scholarship. Active member of the Computer Science and AI Societies while conducting Quantum Computing research.
Refined diagnostic and technical skills by assisting with a diverse range of technology problems.
Graduated from Collingwood Collegiate Institute obtaining Honours with Distinction.
