Nicholas Cestaro is an experienced MLOps Solution Advisor, who has spent his career streamlining and optimizing machine learning and deep learning engineering. He studied Political Science and Government at College of the Holy Cross, and has worked in a variety of industries, from insurance to marketing, before settling on MLOps. He has a diverse skill set, from sales and marketing to refereeing professional soccer games.

At Spell, Nicholas has honed his expertise in MLOps platform design, working to develop a platform that streamlines the entire machine learning and deep learning engineering process. He has also worked as a Sales Development Representative at Spell, a Business Development Representative at Andela, and a Sales Representative at Vector Marketing.

With a passion for technology and a solid understanding of MLOps, Nicholas is a valuable asset to any team that needs MLOps expertise.

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