New Delhi, India

Madhvi Gupta

This inventor holds 1 USPTO granted patent. Top assignee: Optum Technology, Inc.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Madhvi Gupta. Retrieved from https://idiyas.com/inventor/madhvi-gupta

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 = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Madhvi Gupta - Innovator in Natural Language Processing

Introduction

Madhvi Gupta is a prominent inventor based in New Delhi, India. She has made significant contributions to the field of natural language processing, particularly in developing systems that enhance the efficiency of processing short texts. Her innovative approach addresses the growing need for effective solutions in this area.

Latest Patents

Madhvi Gupta holds a patent for "Extracting joint topic-sentiment models from text inputs." This invention focuses on creating a system that can improve natural language processing systems by obtaining and refining term-topic and document-sentiment correlation data objects from digital documents. This advancement is crucial for enhancing the understanding and analysis of short texts.

Career Highlights

Madhvi Gupta is currently employed at Optum Technology, Inc., where she continues to work on innovative projects in technology and natural language processing. Her expertise and dedication to her field have positioned her as a valuable asset to her company and the industry.

Collaborations

Madhvi collaborates with talented individuals such as Suman Roy and Malladi Vijay Varma. These partnerships foster a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Madhvi Gupta's work in natural language processing exemplifies the impact of innovation in technology. Her contributions are paving the way for more effective systems that can better understand and process human language.

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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