Suwanee, GA, United States of America

Keyurkumar Vyas

This inventor holds 1 USPTO granted patent. Top assignee: Capital One Services, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Keyurkumar Vyas. Retrieved from https://idiyas.com/inventor/keyurkumar-vyas

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Keyurkumar Vyas: Inventor in Sensitive-Data Processing.

Introduction

Keyurkumar Vyas is an inventor based in Suwanee, Georgia. His work includes methods for identifying and processing sensitive information in text using artificial intelligence and machine learning.

Latest Patents

Vyas is associated with 1 patent, titled “Selective Artificial Intelligence Processing of Sensitive Data.” The patent describes a computing device that uses regular expressions to identify text matching sensitive-data categories and selects relevant characters, including characters around those matches. A trained machine-learning model then evaluates the selected text for sensitivity, and its output can be used to modify some or all of the original content.

Career Highlights

Vyas is associated with Capital One Services, LLC. His patent focuses on selectively applying machine learning to text that may contain sensitive information, offering an approach to processing such data while limiting the text provided to the model.

Collaborations

Lan Xie is identified as a coworker of Vyas. Their shared professional association provides context for Vyas’s work at Capital One Services, LLC.

Conclusion

Keyurkumar Vyas’s patent describes a targeted approach to sensitive-data processing that combines regular-expression matching with machine-learning analysis.

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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