Shahriar Shariat

Shahriar Shariat is an experienced data/machine learning scientist with a strong background in predictive models and time-series analysis. With a mix of practical and academic experience, Shahriar has a proven track record of delivering high-quality products in machine learning and computer vision domains. He is well-versed in designing and implementing large-scale software solutions. Shahriar's PhD thesis focused on time-series alignment, and he has applied his expertise to various areas including action recognition, EEG signal classification, and general time-series retrieval.