San Jose, CA, United States of America

Ayush Tyagi

This inventor holds 1 USPTO granted patent. Top assignee: Adobe, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayush Tyagi. Retrieved from https://idiyas.com/inventor/ayush-tyagi

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Ayush Tyagi

Introduction

Ayush Tyagi is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of data stream processing, showcasing his expertise through his innovative patent.

Latest Patents

Ayush Tyagi holds a patent titled "Systems and methods for configuring data stream filtering." This patent describes a method for data stream processing that involves receiving an incoming dataset stream, configuring filter parameters, computing filter statistics estimates, and applying these parameters to the data stream. His work in this area demonstrates a commitment to enhancing data processing efficiency.

Career Highlights

Ayush is currently employed at Adobe, Inc., where he applies his skills in data stream processing. His role at Adobe allows him to work on cutting-edge technologies that impact various industries.

Collaborations

Some of Ayush's notable coworkers include Jonathan Ko and Fan Du. Their collaboration fosters a creative environment that encourages innovation and the development of new ideas.

Conclusion

Ayush Tyagi's contributions to data stream processing through his patent and work at Adobe highlight his role as a significant inventor in the technology sector. His innovative approach continues to influence advancements in data management.

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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