Edan Sneh is a skilled software engineer with extensive experience in developing and integrating machine learning and automated systems. Notable internships include a position at Facebook as a Software Engineer Intern, where an automated machine learning pipeline was created, and a role at Amazon Web Services as a Redshift SDE Intern, focused on designing data retrieval and analysis pipelines. Edan served as a Graduate Teaching Assistant for Computer Security at the University of Washington, fostering student engagement and learning. Current work at Meta involves contributions to the EMG Neural Band and a trending system for Threads Feed Ranking. Edan holds a Master's degree in Computer Science from the University of Washington, complemented by a Bachelor's degree in the same field from the same institution and a high school education from Palo Alto High School.
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