Redwood City, CA, United States of America

Milan Desai

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Workday, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Milan Desai. Retrieved from https://idiyas.com/inventor/milan-desai

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Milan Desai - Innovator in Document Parsing Technology

Introduction

Milan Desai is a notable inventor based in Redwood City, CA (US). He has made significant contributions to the field of document parsing through his innovative patent. His work focuses on enhancing the efficiency and accuracy of document processing systems.

Latest Patents

Milan Desai holds a patent for "Document parsing using multistage machine learning." This system includes an interface and a processor designed to receive an image. The processor is configured to determine text boxes by utilizing multiple zoom levels of the image. Additionally, it is designed to determine labels from the strings and provide those labels, showcasing a sophisticated approach to document parsing.

Career Highlights

Milan Desai is currently employed at Workday, Inc., where he applies his expertise in machine learning and document processing. His role involves developing advanced technologies that streamline business processes and improve user experiences.

Collaborations

Milan has collaborated with talented individuals such as Vivek Srivastava and Sergei Winitzki. These partnerships have contributed to the innovative solutions being developed at Workday, Inc.

Conclusion

Milan Desai's work in document parsing technology exemplifies the impact of innovation in the field. His contributions are paving the way for more efficient document processing systems, which are essential in today's data-driven world.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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