Kedar Bartake

Kedar Bartake is an experienced data scientist and software engineer with a strong background in computer vision and machine learning. Kedar began the career as an intern data scientist at Innoplexus, contributing to table detection and extraction solutions, and later advanced to the role of associate data scientist, focusing on PDF data extraction. Following this, Kedar worked as a research assistant at the University of Connecticut, developing predictive models for liposomes using various machine learning techniques. Kedar's academic pursuits continued as a visiting scholar at Stony Brook University. At Google, Kedar has held multiple software engineering positions, currently contributing to the development of the Continuous Validation Orchestration Service and previously working on Google Assistant integration infrastructure. Kedar's early work included significant achievements in deep learning competitions and real-time fabric defect detection systems, showcasing a commitment to innovation and excellence in technology. Kedar holds a Master of Science degree in Computer Science from Stony Brook University.