Seattle, WA, United States of America

Brendon Machado

This inventor holds 2 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Brendon Machado. Retrieved from https://idiyas.com/inventor/brendon-machado

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


% Patents Active = 50.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Brendon Machado - Innovator in Cloud-Based Computing

Introduction

Brendon Machado is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of cloud-based computing, particularly in optimizing worker instance counts for cloud platforms. His innovative approach leverages machine learning to enhance the efficiency of cloud services.

Latest Patents

Brendon holds 1 patent for his invention titled "Predicting worker instance count for cloud-based computing platforms." This patent describes methods for recommending increases in worker instance counts for availability zones in cloud-based computing environments. By utilizing a machine learning model, the invention predicts a time series forecast of workloads, allowing for proactive adjustments to worker instances based on anticipated demand.

Career Highlights

Brendon is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in cloud computing technologies. His work focuses on developing solutions that improve the scalability and reliability of cloud services, making them more responsive to user needs.

Collaborations

Brendon collaborates with his coworker, Abhisek Pan, to further enhance their projects and drive innovation within their team.

Conclusion

Brendon Machado's contributions to cloud-based computing exemplify the impact of innovative thinking in technology. His patent demonstrates a forward-thinking approach to resource management in cloud environments, showcasing the potential of machine learning in optimizing performance.

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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