Dun Laoghaire, Ireland

Gianluca Cacace

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gianluca Cacace. Retrieved from https://idiyas.com/inventor/gianluca-cacace

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Gianluca Cacace: Innovator in Query Language for Metric Data

Introduction

Gianluca Cacace is a notable inventor based in Dun Laoghaire, Ireland. He has made significant contributions to the field of computer systems through his innovative patent. His work focuses on enhancing the efficiency of performance data retrieval in computer systems.

Latest Patents

Gianluca holds a patent for a "Query language for metric data." This invention involves techniques and systems that can receive a query identifying a name linked to performance data of a computer system and a location of that performance data. The system can communicate the name and location to a first computer-implemented system, which includes identifying data derived from these elements. This identifying data can then be used to retrieve performance data hosted by a second computer-implemented system, distinct from the first.

Career Highlights

Gianluca Cacace is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in technology. His work at Amazon has allowed him to collaborate with other talented professionals in the field.

Collaborations

One of his notable coworkers is Andrea Giuliano, with whom he shares insights and expertise in their projects.

Conclusion

Gianluca Cacace's contributions to the field of computer systems through his patent demonstrate his innovative spirit and commitment to advancing technology. His work is a testament to the importance of effective data retrieval systems in today's digital landscape.

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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