Shayeree Sarkar

Data Scientist - Computer Vision at Applied Materials

Shayeree Sarkar is a Data Scientist specializing in Computer Vision at Applied Materials since May 2023, where a significant contribution includes engineering a comprehensive ML pipeline for an Image-Based Retrieval System, achieving a precision@5 of 0.90. Previously, Shayeree worked as a Research Programmer at Carnegie Mellon University’s Language Technologies Institute and served as a Computer Vision Software Engineer at Agot.AI, focusing on a Kitchen Awareness product that enhances restaurant workflow. Earlier experiences involved teaching and research roles at Carnegie Mellon University, developing deep learning solutions and object detection models, and managing course operations for a large enrollments in deep learning. Shayeree holds a Master’s degree in Computer Engineering from Carnegie Mellon University and a Bachelor of Technology in Electrical and Electronics Engineering from Vellore Institute of Technology.

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