Summary
Mohammad Reza Mohebbian is a Machine Learning Engineer and PhD with a decade of experience building AI systems across healthcare imaging, document understanding, and industrial applications. He has moved seamlessly from academic research—developing models for breast cancer recurrence, neuronal spike sorting, and fetal/maternal cardiac monitoring—to productionizing ML at companies like Yardi and Procore, where he led segmentation, OCR customization, and image-embedding work for technical drawings. Comfortable across Python, Java, PyTorch/TensorFlow, and deployment tooling (ArgoCD, MLflow, CircleCI, Docker/Kubernetes), he bridges research and engineering to ship robust ML services. He also founded Canadian Connection Technology to steer AI productization and records educational AI/ML videos to demystify techniques for practitioners. Notably, his industry collaborations include MRI motion detection for Philips Canada and hands-on experience tuning dVAE embeddings for document workflows.
9 years of coding experience
8 years of employment as a software developer
Master's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at University of Isfahan
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Saskatchewan
Persian, English