Embedded Software and Control Systems Engineer
Quantum Computing
Skills: Qiskit, Quantum Mechanics, Distributed Systems
Quantum assisted blockchain consensus protocol that replaces proof-of-work with quantum state fidelity checks.
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.
Embedded control systems for heavy mobile equipment with a focus on testing automation, control system integration, and operator interfaces.
Quantum-assisted blockchain consensus protocol under the supervision of Dr. Barbeau.
Contributed to Chimoney's payment platform and authored documentation for API integration.
Developed a compact Neural Network for x-ray diagnosis, achieving 97.55% accuracy.
Implemented file-sharing systems utilizing network-attached storage with role-based access control.
Pursued a B.C.S at Carleton University. Member of the Computer Science and AI Societies.
Refined diagnostic and technical skills by assisting with a diverse range of technology problems.
Graduated from Collingwood Collegiate Institute obtaining Honours with Distinction.