Machine Learning Engineer at Foqus Technologies Inc.
Canada
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Summary
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Hayden Gunraj is a Machine Learning Engineer with a decade of experience applying deep learning to medical imaging, robotics, and industrial inspection. He develops and deploys PyTorch-based reconstruction and generative models, including integrating ML models into regulated Software-as-a-Medical-Device workflows prepared for FDA and Health Canada submissions. His background spans synthetic data generation, advanced augmentation, explainability for computer vision, and containerized cloud deployment—skills honed across startups and research internships at DarwinAI, Huawei, and Sunnybrook. Hayden pairs a Master’s in Systems Design Engineering from the University of Waterloo with hands-on experience building pipelines that turn unlabelled or incomplete data into production-ready models. Notably, he has led testing and regulatory coordination for clinical-grade ML products, bringing a rare mix of research depth and compliance-focused engineering. Based in Canada, he thrives on bridging state-of-the-art research with pragmatic, auditable solutions for safety-critical domains.
10 years of coding experience
1 year of employment as a software developer
Master of Applied Science, Systems Design Engineering, Master of Applied Science, Systems Design Engineering at University of Waterloo
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Hayden Gunraj - Machine Learning Engineer at Foqus Technologies Inc.