San Mateo, CA, United States of America

Vasisht Raghavendra

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Oracle International Corporation. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 23.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vasisht Raghavendra: Innovator in Natural Language Processing

Introduction

Vasisht Raghavendra is an accomplished inventor based in San Mateo, CA. He has made significant contributions to the field of natural language processing, particularly in the area of named entity recognition. His innovative work has led to the development of techniques that enhance the transformation of natural language into meaning representation languages.

Latest Patents

Vasisht holds a patent titled "Techniques for using named entity recognition to resolve entity expression in transforming natural language to a meaning representation language." This patent outlines methods for accessing natural language text and utilizing machine learning models to predict class labels and operators for meaning representation. The techniques involve converting portions of natural language text into a resolved format, ultimately outputting syntax for the meaning representation language.

Career Highlights

Vasisht is currently employed at Oracle International Corporation, where he continues to innovate and develop cutting-edge technologies. His work at Oracle has positioned him as a key player in advancing natural language processing capabilities.

Collaborations

Throughout his career, Vasisht has collaborated with talented individuals such as Steve Wai-Chun Siu and Nitika Mathur. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.

Conclusion

Vasisht Raghavendra is a notable inventor whose work in natural language processing has the potential to transform how we interact with technology. His contributions, particularly in named entity recognition, highlight the importance of innovation in the field.

Profile summary based on public USPTO records.
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