Franco Matzkin is a machine learning engineer and AI researcher with a strong focus on deep learning, computer vision, and applied artificial intelligence. At Azumo, he designs predictive models, builds scalable APIs, and engineers ETL pipelines that leverage geospatial and sensor data to drive smarter decisions in the energy sector.
Franco brings academic rigor to industry, with a research track focused on medical imaging and uncertainty quantification. His PhD work has contributed to top-tier conferences and journals, advancing techniques in segmentation and AI reliability. He’s also held international research roles, including at ÉTS in Montreal, and mentored junior researchers in machine learning and image analysis.
Fluent in multiple languages and technologies, Franco is comfortable across the ML lifecycle - from model design and training to deployment and monitoring - using tools like PyTorch, MLflow, and FastAPI. He also brings web development and cloud deployment experience to his work, adding versatility to every project.