This inventor holds 2 USPTO granted patents. Top assignee: Splunk Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations by Sunil Kittinakere Nagesh Koundinya
Introduction
Sunil Kittinakere Nagesh Koundinya is an accomplished inventor based in Newark, California. He has made significant contributions to the field of data processing and analysis, holding two patents that showcase his innovative approach to handling time series data.
Latest Patents
His latest patents include "Quantization of data streams of instrumented software" and "Handling of delayed data by adjustment of a maximum delay." These patents describe systems, methods, and techniques for collecting, analyzing, processing, and storing time series data. They also evaluate and determine how to include late or delayed data points when publishing or storing this data. The patents highlight that maximum delay values can identify a duration for waiting for late or delayed data prior to publication. In some examples, these maximum delay values can be dynamically adjustable based on a statistical evaluation process. For late or delayed data points received after the maximum delay elapses, some data points can still be included in the stored time series data, provided they are received in the same order they are generated.
Career Highlights
Sunil Koundinya is currently employed at Splunk Inc., where he continues to develop innovative solutions in data management and analysis. His work has had a significant impact on how organizations handle and interpret time-sensitive data.
Collaborations
He collaborates with talented professionals such as Ramakrishnan Hariharan Chandrasekharapuram and Paul Ingram, contributing to a dynamic and innovative work environment.
Conclusion
Sunil Kittinakere Nagesh Koundinya is a notable inventor whose work in data processing and analysis is paving the way for advancements in the field. His patents reflect a deep understanding of the complexities involved in managing time series data, making him a valuable asset to his company and the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
