Sunnyvale, CA, United States of America

Ramsès V Morales

This inventor holds 1 USPTO granted patent. Top assignee: Vmware, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ramsès V Morales. Retrieved from https://idiyas.com/inventor/ramsès-v-morales

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Ramsès V Morales: Innovator in Distributed Computing Systems

Introduction

Ramsès V Morales is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of distributed computing systems. His innovative approach to querying data has led to the development of a unique patent that enhances the efficiency of data retrieval.

Latest Patents

Ramsès holds a patent titled "Efficient time-range queries on databases in distributed computing systems." This patent focuses on querying data cores for items that correspond to a specified time range. The method utilizes probabilistic data structures to filter through multiple data cores, identifying a subset that contains relevant data items. This targeted approach allows for more efficient searches, improving the overall performance of database queries.

Career Highlights

Ramsès V Morales is currently employed at VMware, Inc., where he continues to work on innovative solutions in the tech industry. His expertise in distributed computing has positioned him as a valuable asset to his team and the company.

Collaborations

Some of Ramsès' coworkers include Michael M Hu and Sai Samrat Karlapudi. Their collaborative efforts contribute to the advancement of technology and innovation within their projects.

Conclusion

Ramsès V Morales exemplifies the spirit of innovation in the tech industry through his patent and work at VMware, Inc. His contributions to distributed computing systems are paving the way for more efficient data management solutions.

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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