Parsa is a published Machine Learning researcher in Canada and an aspiring podcast host. His research on Neural Architecture Search and experience in Transfer Learning, NLP, and Reinforcement Learning plays a crucial part in creating DYNE's ML engine. He is a graduate of UBC with a degree in Computer Engineering.
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