Dev A Nag

This inventor holds 14 USPTO granted patents, primarily in Reinforcement Learning. Top assignees: Vmware, Inc., Wavefront, Inc.. Active years: 2020-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dev A Nag. Retrieved from https://idiyas.com/inventor/dev-a-nag

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

Calculating rank

USPTO Granted Patents = 14

% Patents Active = 92.9

Average Co-Inventor Count = 4.5

ph-index = 3

Forward Citations = 21(Granted Patents)

Location History:

Palo Alto, CA (US) (2020 - 2022)
Belmont, CA (US) (2020 - 2023)

Company Filing History:

Years Active: 2020-2023

Loading Chart...

Areas of Expertise:

Reinforcement Learning

Automated Managers

Anomaly Detection

Distributed Systems

Synthetic Time Series

Training Methods

Action Tags

Metric Tags

Local Agents

Reward Function

Clustered Traces

Computational Efficiency

14 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11561990 - Query implementation using synthetic time series (2023-01-24),

2. 11416364 - Methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using clustered traces, metrics, and component-associated attribute values (2022-08-16),

3. 11238372 - Simulator-training for automated reinforcement-learning-based application-managers (2022-02-01),

4. 11113174 - Methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using traces, metrics, and component-associated attribute values (2021-09-07),

5. 11080623 - Automated reinforcement-learning-based application manager that uses action tags and metric tags (2021-08-03),

6. 11042640 - Safe-operation-constrained reinforcement-learning-based application manager (2021-06-22),

7. 11037058 - Transferable training for automated reinforcement-learning-based application-managers (2021-06-15),

8. 10977579 - Adversarial automated reinforcement-learning-based application-manager training (2021-04-13),

9. 10970649 - Automated reinforcement-learning-based application manager that uses local agents (2021-04-06),

10. 10963313 - Automated reinforcement-learning-based application manager that learns and improves a reward function (2021-03-30),

11. 10949263 - Computationally efficient reinforcement-learning-based application manager (2021-03-16),

12. 10922092 - Administrator-monitored reinforcement-learning-based application manager (2021-02-16),

13. 10824629 - Query implementation using synthetic time series (2020-11-03),

14. 10802864 - Modular reinforcement-learning-based application manager (2020-10-13),

Title: Innovations of Dev A Nag: A Beacon in Distributed Computing

Introduction: Dev A Nag, an innovative inventor based in Belmont, CA, has made significant contributions in the realm of distributed computing, evidenced by his impressive portfolio of 14 patents. His research focuses on techniques that enhance the functionality and performance of distributed systems, offering valuable solutions to contemporary computing challenges.

Latest Patents: Among his latest patents is "Query Implementation Using Synthetic Time Series," which details methods for executing queries using synthetic time series for time series data. This innovative approach allows for a more effective query execution process, translating queries into synthetic time series and performing reduce operations to derive answers. Another noteworthy patent is directed towards methods that identify dimensions related to anomalies in distributed computer systems. This invention utilizes clustered traces and metrics to pinpoint specific attribute dimensions associated with anomalous behaviors, enabling better identification and resolution in distributed computing environments.

Career Highlights: Dev A Nag's illustrious career includes notable tenures at VMware, Inc. and Wavefront, Inc., where he applied his expertise to further enhance distributed systems and metrics collection services. The knowledge and skills amassed during his career have played a pivotal role in shaping his innovative inventions.

Collaborations: Throughout his journey, Dev A Nag has collaborated with esteemed colleagues such as Gregory T Burk and Dongni Wang. These partnerships have fostered a rich exchange of ideas and propelled advancements in his research endeavors.

Conclusion: Dev A Nag exemplifies the essence of innovation in distributed computing. His extensive patent portfolio and collaborative projects illustrate his dedication to enhancing technology. As he continues to push the boundaries of what is possible, his contributions promise to leave a lasting impact on the field.

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]