Ballincollig, Ireland

David Ahern

This inventor holds 1 USPTO granted patent. Top assignee: Dell Products Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Ahern. Retrieved from https://idiyas.com/inventor/david-ahern-t3g2ora3

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: David Ahern and Cloud Application Resilience

Introduction

David Ahern is an inventor based in Ballincollig, Ireland, associated with Dell Products Inc. His patent work addresses how machine learning can help identify opportunities to improve the resilience of cloud applications.

Latest Patents

Ahern is named on 1 patent: “Determining Candidates for Circuit Breaker Patterns in Cloud Applications Using Machine Learning Techniques.” The invention describes training a machine-learning classifier with consumption-related data from cloud applications, then using it to analyze production-related data and determine the composition of cloud-based application programming interfaces. Based on that analysis, the system identifies candidates for implementing circuit breaker patterns and can perform automated actions.

Career Highlights

Ahern’s listed patent highlights an application of machine learning to cloud software reliability. Circuit breaker patterns can help applications respond to failures in connected services, and the patented approach aims to identify where such patterns may be useful.

Collaborations

Ahern’s listed coworkers include Derek O’Keeffe and Jordan Daly. His patent is associated with Dell Products Inc.

Conclusion

David Ahern’s patent work combines machine-learning analysis with circuit breaker patterns to support more resilient cloud applications.

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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