Staple
Chethan Reddy currently serves as an AI Software Engineer at Staple, focusing on enhancing document analytics through advanced machine-learning techniques. Chethan is also a Software Engineer Mentor at Edvi, providing guidance to students in various software engineering subjects. As a Co-Founder of AIOverflow, Chethan is committed to transforming technological ideas into reality. Previous experiences include roles at Dotnitron Technologies and Alvarez & Marsal as an AI Software Engineer, and as a Data Science Engineer at Bajaj Finserv Health, where Chethan developed recommendation systems. Additional experience includes teaching machine learning at RoboGems and conducting research as a Machine Learning Researcher at Smart Diet Planner. Chethan holds a Bachelor of Engineering in Electrical and Electronics Engineering from Vellore Institute of Technology.
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Staple
Relying on humans to extract, enter and manage data is a valuable waste of resources. These activities can be slow, error-prone and expensive, and worse still, no employee enjoys this sort of mundane, repetitive work. Staple has developed an ML tool that reads, interprets and extracts structured data from documents faster, more accurately and more affordably than any human can, at scale. Our data extraction capabilities operate successfully regardless of layout or language. Although business documents like invoices and receipts are common use cases for AP automation, we can an also capture data from semi-structured and unstructured documents including medical claims, bills of lading, trade settlement documentation and many more.