Embedded Software and Control Systems Engineer
Industrial Control Systems Engineering
Design and implementation of control systems for heavy-duty mobile equipment. Automated drilling and rod-handling sequences, closed-loop actuator and powertrain control, and safety interlocks and fault handling for reliable operation in demanding production environments.
Vehicle Networks & Diagnostics
Integration and diagnostics of multi-controller vehicle networks. CAN communication design, ECU control, and fault diagnosis and handling. Experience with J1939, CANopen, Profinet, ModBus, OPC UA, and other industrial communication protocols.
Telematics & Remote Monitoring
Telemetry infrastructure for connected equipment fleets. Linux-based data loggers with secure access, high-frequency CAN and Modbus aggregation, and client dashboards for remote monitoring and diagnostics.
Software Engineering & Simulation
Performance-focused software development. Real-time simulation engines, applied machine learning, full-stack applications, and validation tooling.
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.