Hoboken, NJ, United States of America

Saarth Shah

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Saarth Shah. Retrieved from https://idiyas.com/inventor/saarth-shah

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Saarth Shah

Introduction

Saarth Shah is an accomplished inventor based in Hoboken, NJ (US). He has made significant contributions to the field of technology, particularly in the realm of generative language models. His innovative approach to collaborative publishing systems showcases his ability to merge creativity with technical expertise.

Latest Patents

Saarth Shah holds a patent for a "Generative Collaborative Publishing System." This invention involves a generative language model that outputs documents based on user prompts. The system allows for feedback on the generated documents, which in turn informs the creation of subsequent documents. This iterative process enhances the quality of the writing and facilitates collaborative efforts in publishing.

Career Highlights

Saarth is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology. His work focuses on developing systems that leverage artificial intelligence to improve user experiences in content creation and publishing.

Collaborations

Throughout his career, Saarth has collaborated with talented individuals such as Alana M Smith and Lakshman Somasundaram. These partnerships have allowed him to enhance his projects and contribute to innovative solutions in the tech industry.

Conclusion

Saarth Shah exemplifies the spirit of innovation through his work in generative language models and collaborative publishing systems. His contributions to technology are paving the way for future advancements in the field.

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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