Santa Clara, CA, United States of America

Anjali Yuan Narayan-Chen

This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anjali Yuan Narayan-Chen. Retrieved from https://idiyas.com/inventor/anjali-yuan-narayan-chen

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: 2025

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2 patents (USPTO):Explore Patents

Title: Anjali Yuan Narayan-Chen: Innovator in Virtual Assistant Technology

Introduction

Anjali Yuan Narayan-Chen is a prominent inventor based in Santa Clara, California. She has made significant contributions to the field of technology, particularly in the realm of virtual assistants. Her innovative approach to humor management in virtual assistants has garnered attention in the tech community.

Latest Patents

Anjali holds a patent for a unique invention titled "Virtual Assistant Humor Management." This patent outlines a method where data representing keywords is processed to generate puns. The invention utilizes a machine learning model to create contextually relevant puns based on input keywords and word pairs. The output pun is then presented through a device, enhancing user interaction with virtual assistants.

Career Highlights

Anjali is currently employed at Amazon Technologies, Inc., where she continues to develop cutting-edge technologies. Her work focuses on improving user experience through innovative solutions in artificial intelligence and machine learning.

Collaborations

Anjali collaborates with talented individuals such as Jiao Sun and Shereen Oraby, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Anjali Yuan Narayan-Chen is a trailblazer in the field of virtual assistant technology, with her patent showcasing her innovative spirit. Her contributions are paving the way for more engaging and intelligent virtual interactions.

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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