Los Angeles, CA, United States of America

Aram Galstyan

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Amazon Technologies, Inc.. Active years: 2025-2026.

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 6.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: Aram Galstyan: Innovator in Natural Language Processing

Introduction

Aram Galstyan is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the field of natural language processing, holding a total of 3 patents. His work focuses on enhancing user interaction with systems through natural language explanations and question generation techniques.

Latest Patents

Galstyan's latest patents include innovative techniques for generating and outputting natural language explanations of system determinations. This system presents content to users based on a determination made by the system, utilizing history data and context data to create a natural language explanation. Additionally, he has developed methods for generating natural language prompts to further dialog goals. This involves analyzing user inputs and dialog history to produce relevant follow-up questions.

Career Highlights

Aram Galstyan is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology in natural language processing. His work has been instrumental in improving user experience and interaction with automated systems.

Collaborations

Throughout his career, Galstyan has collaborated with notable colleagues, including Anoop Kumar and Yi Fung. These partnerships have fostered innovation and contributed to the development of advanced technologies in their field.

Conclusion

Aram Galstyan's contributions to natural language processing exemplify the impact of innovative thinking in technology. His patents reflect a commitment to enhancing user interaction through intelligent systems.

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