Location History:
- San Jose, CA (US) (2022)
- San Mateo, CA (US) (2022)
Company Filing History:
Years Active: 2022
Title: Abhishek Shivanna: Innovator in Stream Processing Technologies
Introduction
Abhishek Shivanna is a notable inventor based in San Jose, California. He has made significant contributions to the field of stream processing applications, holding 2 patents that showcase his innovative approach to technology.
Latest Patents
One of his latest patents is titled "Auto-sizing for stream processing applications." This invention provides techniques for automatically resizing applications based on policy data that indicates an order of multiple policies. The first policy corresponds to a specific computer resource and resizing action, while a second, lower-priority policy corresponds to another resizing action and resource. The system utilizes resource utilization data from applications executing in a cloud environment to determine whether the criteria for resizing are met.
Another significant patent is "Stream processing diagnostics." This system processes data by receiving records of activity within a stream-processing system over various event streams. Each event stream contains events related to corresponding jobs in the system. The system indexes this data under keys related to jobs and errors, allowing for effective analysis of the stream-processing system's execution.
Career Highlights
Abhishek Shivanna is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work focuses on enhancing the efficiency and effectiveness of stream processing systems.
Collaborations
He collaborates with talented individuals such as Prateek Maheshwari and Samarth Shetty, contributing to a dynamic and innovative work environment.
Conclusion
Abhishek Shivanna's contributions to stream processing technologies reflect his commitment to innovation and excellence. His patents demonstrate a forward-thinking approach that addresses the complexities of modern computing environments.