Santa Clara, CA, United States of America

Satya Venkata Bharani Suresh Vasabhaktula


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: The Innovations of Satya Venkata Bharani Suresh Vasabhaktula

Introduction

Satya Venkata Bharani Suresh Vasabhaktula is an accomplished inventor based in Santa Clara, California. He has made significant contributions to the field of technology, particularly in the area of machine learning and service provider recommendations. His innovative approach has led to the development of a unique patent that enhances the efficiency of service usage.

Latest Patents

Satya holds a patent titled "Service provider instance recommendations using machine-learned classifications and reconciliation." This patent describes a method that involves collecting source data related to a service hosted by a service provider. The process includes identifying metrics for the service instance, applying a machine learning model to classify these metrics, and generating recommendations for resource usage. The recommendations are then transmitted to a client device for visualization, enabling better decision-making for users.

Career Highlights

Satya is currently employed at Splunk Inc., a leading company in data analytics and machine learning. His work at Splunk focuses on leveraging advanced technologies to improve service delivery and resource management. His expertise in machine learning has positioned him as a valuable asset to the company.

Collaborations

Some of Satya's notable coworkers include Subramaniam Baskaran and Omprakaash Thoppai. Their collaborative efforts contribute to the innovative environment at Splunk, fostering advancements in technology and service solutions.

Conclusion

Satya Venkata Bharani Suresh Vasabhaktula exemplifies the spirit of innovation in the tech industry. His contributions through patents and collaborative work at Splunk Inc. highlight the importance of machine learning in enhancing service provider efficiency.

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