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Danial is a Machine Learning Engineer from the University of Toronto. He has worked on a variety of machine learning domains in both industry and academia including speech recognition, histopathology, and multi-agent reinforcement learning. His recent work in machine learning involves taking a system-wide approach to problems, focusing on improving the machine learning pipeline from collecting data to deploying models in production.