Dublin, Ireland

Bartłomiej Uscilowski

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bartłomiej Uscilowski. Retrieved from https://idiyas.com/inventor/bartłomiej-uscilowski

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Bartłomiej Uscilowski: Innovator in Cloud Resource Management

Introduction

Bartłomiej Uscilowski is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of cloud resource management through his innovative patent. His work focuses on enhancing the efficiency of cloud resources by utilizing machine learning techniques.

Latest Patents

Uscilowski holds a patent titled "Assignment of resource criticality scores to cloud resources based on cloud resource class." This invention involves a machine-learning (ML)-based classifier or regressor that is trained using information samples and resource criticality scores for respective cloud resource classes. The classifier is designed to assign a resource criticality score to specific cloud resources, thereby improving resource management in cloud computing environments.

Career Highlights

Currently, Bartłomiej Uscilowski is employed at Tenable, Inc., where he continues to develop innovative solutions in the tech industry. His expertise in machine learning and cloud resource management has positioned him as a valuable asset to his team.

Collaborations

Uscilowski collaborates with his coworker, Slawomir Grzonkowski, to further enhance their projects and drive innovation within their company.

Conclusion

Bartłomiej Uscilowski's contributions to cloud resource management through his patent demonstrate his commitment to advancing technology in this field. His work not only showcases his inventive spirit but also highlights the importance of machine learning in optimizing cloud resources.

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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