Mountain View, CA, United States of America

Ritesh Maheshwari

USPTO Granted Patents = 6 

Average Co-Inventor Count = 6.8

ph-index = 3

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2018-2019

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6 patents (USPTO):Explore Patents

Title: Ritesh Maheshwari: Innovator in Site Performance Anomaly Detection

Introduction

Ritesh Maheshwari is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of data processing and performance metrics, holding a total of 6 patents. His work primarily focuses on statistical detection methods that enhance the monitoring of system performance.

Latest Patents

Among his latest patents, Ritesh has developed a system for the statistical detection of site speed performance anomalies. This innovative system processes data by obtaining a current window of time-series data collected from a monitored system. It continuously performs statistical hypothesis tests to compare the time-series data with baseline values from historic data. When deviations are detected, the system outputs alerts indicating anomalies.

Another significant patent by Ritesh is related to the root cause investigation of site speed performance anomalies. This system processes a set of components of a time-series performance metric associated with an anomaly. It assesses deviations of each component from baseline values through statistical hypothesis tests. When significant deviations are identified, the system outputs alerts that include the root cause of the anomaly.

Career Highlights

Ritesh Maheshwari is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of data processing. His work has been instrumental in improving the reliability and efficiency of monitored systems.

Collaborations

Ritesh collaborates with talented individuals such as Liang Zhang and Yang Yang, contributing to a dynamic and innovative work environment.

Conclusion

Ritesh Maheshwari's contributions to the field of data processing and performance metrics are noteworthy. His innovative patents reflect his commitment to enhancing system monitoring and anomaly detection.

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