Mark Chew is a skilled data professional with extensive experience in machine learning and AI solutions. At Broadcom, Mark served as a Data Engineer from September 2007 to February 2011, where Mark designed and implemented machine learning workflows and developed a computer vision model for cybersecurity, reducing potential risks by 40%. From June 2018 to May 2018 at Google, Mark held the position of Data and AI Solutions Architect, leading the creation of AI platforms that significantly cut operational costs by over 20%. Additionally, as an AI/Machine Learning Engineer, Mark focused on data infrastructure and optimized data pipelines to enhance processing efficiency by 25%. Mark holds a Bachelor's degree in Computer Science from the University of California, Davis, and a Master's degree in Computer Science from the University of California, Berkeley.
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