Sammamish, WA, United States of America

Atul Katiyar

USPTO Granted Patents = 12 

 

Average Co-Inventor Count = 7.3

ph-index = 2

Forward Citations = 8(Granted Patents)


Location History:

  • Redmond, WA (US) (2016 - 2019)
  • Sammamish, WA (US) (2020 - 2022)

Company Filing History:


Years Active: 2016-2025

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12 patents (USPTO):Explore Patents

Title: Atul Katiyar: Innovator in Cloud Computing and Database Management

Introduction

Atul Katiyar is a prominent inventor based in Sammamish, WA (US), known for his significant contributions to cloud computing and database management. With a total of 12 patents to his name, Katiyar has made strides in the field of artificial intelligence and data management systems.

Latest Patents

Katiyar's latest patents include a "Scheduler for planet-scale computing system," which describes a method for scheduling the execution of artificial intelligence (AI) workloads within a cloud infrastructure platform. This global scheduler efficiently distributes AI workloads to nodes based on resource ticket values, ensuring optimal performance. Additionally, he has developed a system for "Merging conflict resolution for multi-master distributed databases." This innovation addresses data version conflicts in multi-master configurations by designating a merge master to apply conflict resolution techniques, thereby enhancing efficiency and reducing redundancy.

Career Highlights

Atul Katiyar is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology. His work focuses on improving cloud infrastructure and database management, making significant impacts in these areas.

Collaborations

Katiyar collaborates with talented individuals such as Dharma Kiritkumar Shukla and Karthik Raman, contributing to innovative projects that advance technology.

Conclusion

Atul Katiyar's work exemplifies the spirit of innovation in technology, particularly in cloud computing and database management. His patents reflect a commitment to solving complex problems and enhancing system efficiencies.

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