Kirkland, WA, United States of America

Raphael Ghelman

This inventor holds 1 USPTO granted patent and 2 published patent applications and 2 EPO patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Raphael Ghelman. Retrieved from https://idiyas.com/inventor/raphael-ghelman

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovations of Raphael Ghelman

Introduction

Raphael Ghelman is an accomplished inventor based in Kirkland, WA (US). He has made significant contributions to the field of data transfer techniques, showcasing his expertise through his innovative patent.

Latest Patents

Ghelman's most notable patent is focused on paginated data transfer techniques. This invention allows a requestor device to request data from a data platform, with responses that include version and device identifiers. These identifiers enable the requestor device to route requests effectively to the appropriate server device, ensuring that data is processed accurately even when updates occur.

Career Highlights

Ghelman is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work has positioned him as a key player in the technology sector, particularly in data management and transfer.

Collaborations

Some of Ghelman's coworkers include Matheus De Oliveira Leao and Eli Cortez Custodio Vilarinho. Their collaborative efforts contribute to the advancement of technology and innovation within their organization.

Conclusion

Raphael Ghelman is a notable inventor whose work in paginated data transfer techniques exemplifies the importance of innovation in technology. His contributions continue to influence the way data is managed and transferred in modern systems.

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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