Duluth, GA, United States of America

Srinivas R Mudireddy

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Srinivas R Mudireddy. Retrieved from https://idiyas.com/inventor/srinivas-r-mudireddy

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Srinivas R. Mudireddy: Inventor in Privacy-Preserving Data Linkage.

Introduction

Srinivas R. Mudireddy is an inventor associated with Duluth, Georgia, and Amazon Technologies, Inc. His patent work addresses privacy-preserving data linkage in distributed computing systems.

Latest Patents

The provided information identifies one patent associated with Mudireddy: “Dynamic Privacy Preserving Data Linkage in Distributed Computing Systems.” The invention describes techniques for linking data while separating non-personal data from personally identifiable information (PII). A computing service can generate a temporary identifier with a time-to-live value, associate it with identifier data, and share it with another processing system. That system can use the temporary identifier without having direct access to the data structure containing PII. Mudireddy is associated with 1 patent.

Career Highlights

Mudireddy’s listed patent reflects work on data privacy and distributed computing. Its approach uses transient identifiers and expiration periods to support data linkage while limiting access to sensitive information.

Collaborations

The provided information lists Kevan Ahlquist and Andrew Tyler Compton as Mudireddy’s coworkers. Their shared professional context is associated with Amazon Technologies, Inc.

Conclusion

Srinivas R. Mudireddy’s identified patent focuses on enabling data linkage across computing systems while protecting personally identifiable information through temporary identifiers and controlled access.

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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