Summary
Jean-frédéric Fontaine is a Machine Learning Engineer with nine years of experience building and deploying production ML pipelines and embedded IoT software across North America. He has delivered mission-critical edge systems and backend services—implementing OTA updates, guaranteed data transmission, and protobuf-based APIs—while maintaining a modular, object-oriented C++ codebase and Python backends. He led the industrialization of a real-time computer vision weld-inspection system from prototype to Kubernetes-orchestrated production, and earlier contributed denoising and testing pipelines to scientific imaging software. Comfortable at the intersection of research and production, he has applied deep learning in domains from autonomous driving to EEG analysis and collaborated with neuroscientists to inform model design. A resilient problem-solver and clear communicator, he prioritizes team success and long-term maintainability over quick fixes. Based in Quebec, he combines embedded systems pragmatism with ML engineering rigor to turn complex prototypes into scalable deployments.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at École Polytechnique de Montréal
Psychology, Psychology at Université de Montréal