San Jose, CA, United States of America

Vikas Sagar

This inventor holds 1 USPTO granted patent. Top assignee: Adobe, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vikas Sagar. Retrieved from https://idiyas.com/inventor/vikas-sagar-qf129unp

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 = 10.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Vikas Sagar: Innovator in Natural Language Processing

Introduction

Vikas Sagar is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of natural language processing, particularly in the area of intent classification and response generation.

Latest Patents

Vikas holds a patent titled "Accuracy of natural language input classification utilizing response delay." This patent focuses on systems designed to identify instances of natural language input and determine intent classifications associated with these inputs. The systems intelligently group instances of user input based on their characteristics. Furthermore, they determine intent classifications for natural language inputs through message queuing, which allows for delayed responses that enhance accuracy while maintaining a conversational flow.

Career Highlights

Vikas Sagar is currently employed at Adobe, Inc., where he applies his expertise in natural language processing. His work has been instrumental in developing innovative solutions that improve user interaction with technology.

Collaborations

Vikas has collaborated with notable colleagues, including Oliver Brdiczka and Ajinkya Gorakhnath Kale. Their combined efforts have contributed to advancements in the field of natural language processing.

Conclusion

Vikas Sagar is a prominent figure in the realm of natural language processing, with a focus on enhancing the accuracy of user interactions through innovative systems. His contributions continue to shape the future of technology in this area.

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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