Hinsdale, IL, United States of America

Sanjay Krishnan

This inventor holds 3 USPTO granted patents and 5 published patent applications. Top assignee: Echomark, Inc.. Active years: 2024-2026.

USPTO Granted Patents = 3 

% Patents Active = 33.3

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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3 patents (USPTO):Explore Patents

Title: The Innovative Mind of Sanjay Krishnan

Introduction

Sanjay Krishnan is a notable inventor based in Hinsdale, IL (US). He has made significant contributions to the field of document security through his innovative patent. His work focuses on enhancing the integrity of document sharing and source detection.

Latest Patents

Sanjay holds a patent for "Document marking techniques using semantically similar phrases for document source detection." This invention allows for the generation of unique copies of an original document, which can be distributed to individual recipients. These unique copies help identify the source of a document leak by replacing terms within the original document with alternative terms. A first machine learning model determines these alternative terms, while a second model assesses the tone of each term to ensure that the replacements maintain a similar tone to the original document. This innovative approach enhances document security and traceability.

Career Highlights

Sanjay is currently employed at Echomark, Inc., where he continues to develop cutting-edge solutions in document security. His expertise in machine learning and document processing has positioned him as a valuable asset in his field.

Collaborations

Sanjay collaborates with talented individuals such as David Wong and Chad Voss, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Sanjay Krishnan's contributions to document security through his innovative patent demonstrate his commitment to advancing technology in this critical area. His work not only enhances document integrity but also showcases the potential of machine learning in practical applications.

Profile summary based on public USPTO records.
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