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For the Inventor, By the Inventor

Sammamish, WA, United States of America

Atul Katiyar

This inventor holds 13 USPTO granted patents and 3 published patent applications and 2 EPO patents, primarily in Distributed Databases. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Atul Katiyar. Retrieved from https://idiyas.com/inventor/atul-katiyar

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

Calculating rank
USPTO Granted Patents = 13 

% Patents Active = 84.6

 

Average Co-Inventor Count = 7.3

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

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

Company Filing History:

goldMedal13 out of 56,318 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2016-2026

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Areas of Expertise:
Artificial Intelligence
Distributed Databases
Conflict Resolution
Multi-master Architectures
Elastic Scalability
Resource Management
Data Provisioning
Load Balancing
Real-time Analytics
Containerization
13 patents (USPTO):Explore Patents
1. 12755187 - Planet-scale, fully managed artificial intelligence infrastructure service (2026-10-06),
2. 12353908 - Scheduler for planet-scale computing system (2025-07-08),
3. 11397721 - Merging conflict resolution for multi-master distributed databases (2022-07-26),
4. 11379461 - Multi-master architectures for distributed databases (2022-07-05),
5. 11321303 - Conflict resolution for multi-master distributed databases (2022-05-03),
6. 11269679 - Resource-governed protocol and runtime for distributed databases with consistency models (2022-03-08),
7. 10885018 - Containerization for elastic and scalable databases (2021-01-05),
8. 10817506 - Data service provisioning, metering, and load-balancing via service units (2020-10-27),
9. 10686875 - Elastically scalable document-oriented storage services (2020-06-16),
10. 10212218 - Elastically scalable document-oriented storage services (2019-02-19),
11. 9712608 - Elastically scalable document-oriented storage services (2017-07-18),
12. 9367619 - Large scale real-time multistaged analytic system using data contracts (2016-06-14),
13. 9240937 - Fault detection and recovery as a service (2016-01-19),

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.

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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