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Shah Bawany is an accomplished professional in the technology sector with extensive experience in applied science and technical program management. Currently serving as Director of Applied Science at Amazon since July 2012, Shah leads a team responsible for designing algorithms for auction-based ad placements within Amazon’s search results. Previous roles at Amazon include Senior Technical Program Manager, where Shah launched various advertiser-facing features for Product Ads. Prior to Amazon, Shah worked at Microsoft from June 2008 to July 2012 as Research Program Manager/Data Scientist, developing predictive models to combat fraudulent content and managing the client-side application for Windows Phone 7 updates. Shah holds a Bachelor of Science in Electrical Engineering and Computer Science from the University of California, Berkeley, and a Master of Science in Computer Science from the University of Washington.