Minneapolis, MN, United States of America

Kevan Ahlquist

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kevan Ahlquist. Retrieved from https://idiyas.com/inventor/kevan-ahlquist

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kevan Ahlquist: Inventor in Privacy-Preserving Data Linkage

Introduction

Kevan Ahlquist is an inventor based in Minneapolis, Minnesota, and is associated with Amazon Technologies, Inc. His work includes an invention for privacy-preserving data linkage in distributed computing systems.

Latest Patents

Ahlquist is named on one patent: “Dynamic Privacy Preserving Data Linkage in Distributed Computing Systems.” The patent describes techniques for linking data while limiting access to personally identifiable information (PII). In one example, separate data structures store non-personal data and PII. A computing service creates a temporary identifier with a time-to-live value and associates it with an identifier for the PII. The temporary identifier can then be sent to another processing system that is not authorized to access the PII data structure directly. This approach supports data linkage while helping protect sensitive information.

Career Highlights

Ahlquist’s listed patent work is associated with Amazon Technologies, Inc. The invention focuses on managing temporary identifiers and access boundaries in distributed computing environments.

Collaborations

Andrew Tyler Compton and Michael Curtis Lindahl are identified as Ahlquist’s coworkers. The available information does not specify their roles in the patent or whether they collaborated on this invention.

Conclusion

Kevan Ahlquist’s patent addresses a practical challenge in distributed computing: linking data while restricting direct access to personally identifiable information.

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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