Seattle, WA, United States of America

Digvijaysinh Govindbhai Makwana

USPTO Granted Patents = 3 

Average Co-Inventor Count = 16.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Seattle, WA (US) (2022)
  • San Francisco, CA (US) (2022)

Company Filing History:


Years Active: 2022

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3 patents (USPTO):Explore Patents

Title: Innovations of Digvijaysinh Govindbhai Makwana

Introduction

Digvijaysinh Govindbhai Makwana is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of distributed databases, holding three patents that address complex issues in data management and conflict resolution.

Latest Patents

His latest patents include "Merging conflict resolution for multi-master distributed databases" and "Multi-master architectures for distributed databases." The first patent focuses on reducing data version conflicts in multi-master configurations by designating a merge master to apply conflict resolution techniques. This innovation aims to enhance efficiency and minimize redundancy in data updates. The second patent presents multi-master architectures that allow multiple servers to update a data set, improving performance guarantees such as latency and availability. This architecture also includes mechanisms for resolving conflicting updates through designated master servers.

Career Highlights

Digvijaysinh currently works at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in the realm of database management. His work is instrumental in advancing the capabilities of distributed systems, making them more efficient and reliable.

Collaborations

He collaborates with talented individuals such as Karthik Raman and Momin Mahmoud Al-Ghosien, contributing to a dynamic and innovative work environment.

Conclusion

Digvijaysinh Govindbhai Makwana's contributions to the field of distributed databases through his patents reflect his expertise and commitment to innovation. His work not only addresses current challenges but also paves the way for future advancements in data management.

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