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Matthew Zak is a skilled Machine Learning Engineer with extensive experience in deploying neural networks and creating end-to-end solutions on cloud platforms such as AWS and Google Cloud. At IntellAct, Matthew has contributed to the company’s technology stack by developing ML pipelines, data engineering processes, and automated test suites. Previous roles include implementing deep learning models for text analysis at PAPER, where Matthew also mentored colleagues and participated in service integration. Matthew has worked as a Python Developer at Hitachi ID Systems and as a Data Scientist at Tooploox, providing data science solutions and developing AI algorithms. Matthew holds a Master of Computer Science in Computer Vision from Concordia University and has advanced training in algorithms from Université de Montréal.