Seattle, WA, United States of America

Matthew John Hinkle


Average Co-Inventor Count = 5.3

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2021

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2 patents (USPTO):Explore Patents

Title: Innovations of Matthew John Hinkle

Introduction

Matthew John Hinkle is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of computing through his innovative patents. With a total of 2 patents, Hinkle has demonstrated his expertise in developing advanced technologies that enhance computing resource management.

Latest Patents

Hinkle's latest patents include "Detecting Configuration Drift for Computing Resource Stacks" and "Asynchronous Fleet Configuration Service." The first patent describes techniques for identifying 'out-of-band' modifications to a computing resource stack provisioned at a service provider network. This innovation allows users to manage their computing resources more effectively, even when modifications are made outside the infrastructure modeling service. The second patent focuses on providing an asynchronous fleet configuration service for deploying and updating a fleet of network resources. This service utilizes an asynchronous application programming interface (API) to monitor the status of individual resources, ensuring efficient deployment and updates.

Career Highlights

Matthew John Hinkle is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology. His work at Amazon has allowed him to collaborate with other talented professionals in the field, contributing to the development of cutting-edge solutions.

Collaborations

Some of Hinkle's notable coworkers include Anil M Kumar and Rajesh Viswanathan. Their collaborative efforts have further advanced the innovations being developed at Amazon Technologies.

Conclusion

Matthew John Hinkle's contributions to the field of computing through his patents reflect his dedication to innovation and technology. His work continues to influence the way computing resources are managed and deployed in modern networks.

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