Tribeni Ghat, India

Debarghya Majumdar

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Debarghya Majumdar. Retrieved from https://idiyas.com/inventor/debarghya-majumdar

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Debarghya Majumdar: Innovator in Data Presentation

Introduction

Debarghya Majumdar is a notable inventor based in Tribeni Ghat, India. He has made significant contributions to the field of data presentation, particularly in enhancing the efficiency of visualizing large data sets. His innovative approach aims to improve how data is rendered and understood.

Latest Patents

Debarghya holds a patent titled "Data presentation at different levels of detail." This patent describes a system and process for altering the presentation of data items to enable efficient presentation of large sets of data items. For instance, when dealing with a data set that includes 40,000 data items to be displayed on a map, the system processes the data to reduce the number of items presented without losing essential visual information.

Career Highlights

Currently, Debarghya is employed at Amazon Technologies, Inc., where he applies his expertise in data visualization. His work focuses on developing innovative solutions that enhance user experience and data comprehension.

Collaborations

Debarghya collaborates with talented individuals such as Amit Neogy and Niketh Sabbineni, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Debarghya Majumdar's contributions to data presentation exemplify the importance of innovation in technology. His patent and work at Amazon Technologies, Inc. highlight his commitment to improving how we interact with large data sets.

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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