San Ramon, CA, United States of America

Kirubakaran Pakkirisamy

USPTO Granted Patents = 5 

Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 56(Granted Patents)


Company Filing History:


Years Active: 2015-2021

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Kirubakaran Pakkirisamy: Innovator in Machine Data Visualization

Introduction

Kirubakaran Pakkirisamy is a notable inventor based in San Ramon, CA (US). He has made significant contributions to the field of machine data visualization, holding a total of 5 patents. His work focuses on improving the analysis of computing cluster performance and error detection.

Latest Patents

Pakkirisamy's latest patents include innovative systems for predicting system behavior using machine data. These embodiments are directed towards the visualization of machine data received from computing clusters. They enable improved analysis of computing cluster performance, error detection, troubleshooting, and error prediction. Individual cluster nodes generate machine data that includes information regarding their operation and status. This machine data is indexed by one or more applications and stored in index stores. A visualization application allows users to select analysis lenses to generate visualizations of the machine data. Another patent involves generating notification visualizations based on event pattern matching, further enhancing the capabilities of machine data analysis.

Career Highlights

Kirubakaran Pakkirisamy is currently employed at Splunk Inc., where he continues to develop innovative solutions in the realm of machine data. His expertise in this area has positioned him as a key contributor to the company's advancements in data visualization technologies.

Collaborations

Pakkirisamy has collaborated with notable coworkers such as Cary Glen Noel and Alex Raitz, contributing to a dynamic team focused on pushing the boundaries of machine data analysis.

Conclusion

Kirubakaran Pakkirisamy's work in machine data visualization exemplifies the impact of innovative thinking in technology. His patents and contributions continue to shape the future of computing cluster performance analysis.

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