Real-time, safety-critical control systems for heavy mobile equipment, taken from concept through integration and deployment. Grounded in a computer science degree.
Integrating sensors, actuators and hydraulics into heavy machinery, working alongside electrical, mechanical and hydraulic engineers and the production and test teams who build it.
Research in distributed systems and quantum computation, building on concepts at the forefront of simulated quantum computing to rethink how decentralized networks reach agreement.
System design and operating system depth to build persistent, self-monitoring Linux deployments that run unattended, recover on their own and stay reachable from anywhere.
Automated breakout sequences and sensor-guided pipe handling for an underground raise drill.
View projectControl software and the operator interface for a steerable drill that mines narrow veins from the surface.
View projectTest automation and field tuning as a hybrid rig conversion moved from prototype to production.
View projectA Linux telematics stack, built and run in-house, that keeps a fleet of heavy machines connected.
View project
Embedded control systems design for mining equipment across drilling automation, battery electric vehicles, and high-voltage electrification projects. Primarily focused on real-time data acquisition, hardware control system integration, and operator interface design.
Quantum-assisted blockchain consensus protocol, supervised by Dr. Barbeau.
Payment platform development and API integration documentation.
Network storage and role-based file sharing for a clinical office.
Member of the Computer Science and AI Societies.
Hardware diagnostics, data recovery and technical support.
Open to automation, controls and embedded roles.
