Francisco Ilagan currently works as a Machine Learning Engineer at Google, focusing on designing and evaluating deep perception models for audio and vision, as well as developing data processing pipelines. Prior to Google, Francisco was a Software Engineer at Scale AI, where responsibilities included applying machine learning solutions to enhance efficiency. At Facebook, Francisco contributed as an ML generalist engineer, developing and maintaining recommendation models for the Jobs on Facebook product. Francisco's early experience includes research roles at Stanford University, where independent projects involved computational techniques for cellular microenvironments and stem cell differentiation. Additionally, as an intern at Stottler Henke Associates, Francisco developed simulation software for helicopter training and an AI system for fault detection in spacecraft. Francisco holds a Master of Science in Computer Science, with a focus on Artificial Intelligence, and a Bachelor of Science in Biology, both from Stanford University.
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