Seattle, WA, United States of America

Arjun Mukhopadhyay


Average Co-Inventor Count = 7.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):

Title: Innovations by Arjun Mukhopadhyay

Introduction

Arjun Mukhopadhyay is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of data management and machine learning. With a total of 3 patents to his name, his work focuses on enhancing data sets and linking unstructured text to standardized ontologies.

Latest Patents

One of his latest patents is titled "Enhancing data sets to create data stores." This innovation involves receiving requests to create data stores by enhancing existing data sets. The process identifies items stored in an extensible data format for machine learning enhancement. Machine learning models are then applied to generate additional data, which is added to extend the items and store them in a new data store. Another notable patent is "Service architecture for ontology linking of unstructured text." This patent describes techniques for linking unstructured text to a standardized ontology as a service. The service segments and tokenizes the unstructured text, sending the results to multiple deep machine learning models. These models are trained to identify entities and relationships, ultimately ranking candidates from the standardized ontology based on their similarity to the detected entities.

Career Highlights

Arjun Mukhopadhyay is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on how data is managed and utilized in various applications.

Collaborations

He collaborates with talented individuals such as Parminder Bhatia and Arun Kumar Ravi, contributing to a dynamic and innovative work environment.

Conclusion

Arjun Mukhopadhyay's contributions to the field of data management and machine learning are noteworthy. His patents reflect a commitment to enhancing data utility and improving the way unstructured information is processed. His work continues to influence advancements in technology and data science.

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