This inventor holds 1 USPTO granted patent. Top assignee: Cohesity, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Rajat Partani: Innovator in Data Platform Services
Introduction
Rajat Partani is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data platform services through his innovative work. His expertise in technology and data management has led to the development of a unique patent that enhances the efficiency of data services.
Latest Patents
Rajat Partani holds a patent for an "Automated workload sizer for data platform service." This invention describes techniques for an automated workload sizer that can optimize data platform services. The computing device involved in this process is equipped with memory and processing circuitry, which are configured to perform the necessary techniques. The memory stores metadata indicative of data storage by a third-party service provider for a client of the data platform. The processing circuitry executes the automated workload sizer, which processes the metadata to estimate the provision of data platform services based on the data stored by the third-party service. This innovation aims to streamline the estimation process for data platform services.
Career Highlights
Rajat Partani is currently employed at Cohesity, Inc., where he continues to develop innovative solutions in data management. His work at Cohesity has allowed him to collaborate with talented professionals in the industry, further enhancing his contributions to technology.
Collaborations
Some of Rajat's coworkers include Amar Solanke and Himanshu Srivastava. Their collaboration fosters a creative environment that encourages innovation and the development of cutting-edge solutions in data services.
Conclusion
Rajat Partani's contributions to the field of data platform services through his patent and work at Cohesity, Inc. highlight his role as an influential inventor. His innovative approach to automating workload sizing is set to make a significant impact on the efficiency of data management services.
