Daniel Gonzalez, DCS, is a seasoned Lead Machine Learning Engineer with over eight years of experience in designing and implementing advanced machine learning solutions across various industries. Currently serving at VideoAmp as a Senior Machine Learning Engineer, Daniel leverages expertise in cloud computing and data engineering to develop impactful machine learning workflows. Previously, as Lead Machine Learning Engineer at Tiger Analytics, Daniel managed a team to optimize machine learning models and enhance operational efficiency. A dedicated educator, Daniel holds a Doctorate in Computer Science and teaches courses in machine learning at Colorado Technical University. Daniel’s work has been published in reputable journals, underscoring a strong commitment to innovation within the field.
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