Sunnyvale, CA, United States of America

Rishikesh Singh

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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4 patents (USPTO):Explore Patents

Title: Innovations by Rishikesh Singh

Introduction

Rishikesh Singh is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of technology, particularly in the areas of system monitoring and anomaly detection. With a total of four patents to his name, Singh continues to push the boundaries of innovation.

Latest Patents

One of Rishikesh Singh's latest patents is titled "Continuous system service monitoring using real-time short-term and long-term analysis techniques." This system is designed to monitor applications and analyze metrics to determine if one or more applications are regressing or performing as expected. The metric analysis involves performing a first short-term data analysis, and if the data is not as expected, a second short-term analysis based on machine learning-based pattern recognition machines is conducted. If the short-term analysis indicates that the metrics are not as expected, a long-term analysis is performed. This long-term analysis can compare chunks of streaming metric data to cached metric blocks and historical data, including a concept drift analysis.

Another significant patent by Singh is "Service regression detection using real-time anomaly detection of log data." This system provides continuous delivery and service regression detection in real-time based on log data. The log data is clustered based on textual and contextual similarity, serving as an indicator for the behavior of a service or application. The clusters can be enhanced with the frequency distribution of occurrences bucketed at a temporal level. Collectively, these textual and contextual similarity clusters serve as a strong signature of the current service state and a robust indicator for predicting future behavior. Machine learning techniques are employed to generate a signature from log data to represent the current state and predict the future behavior of the service at any given moment.

Career Highlights

Rishikesh Singh is currently employed at Harness Inc., where he applies his expertise in developing innovative solutions. His work focuses on enhancing system performance and reliability through advanced monitoring techniques.

Collaborations

Singh collaborates with talented individuals such as Sriram Parthasarathy and Raghvendra Singh, contributing to a dynamic and innovative work environment.

Conclusion

Rishikesh Singh is a prominent inventor whose work in system monitoring and anomaly detection has the potential to revolutionize how applications are managed and analyzed. His contributions continue to shape the future of technology.

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