This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Rubrik, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Disha Singla: Innovator in Data Management Solutions
Introduction
Disha Singla is a prominent inventor based in Patiala, India. He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing the efficiency of service level agreement generation, which is crucial for data backup processes.
Latest Patents
Disha Singla holds a patent titled "Techniques for automatic service level agreement generation." This patent describes methods, systems, and devices for data management. The data management system (DMS) he developed can receive requests to back up data from a source data storage environment to a target data storage environment. The DMS inputs first workload metadata associated with the backup into a machine learning model, which is trained using second workload metadata from a set of workloads managed by the system. In response to backup requests, the DMS generates one or more service level agreement configurations and performs the backup accordingly.
Career Highlights
Disha Singla is currently employed at Rubrik, Inc., a company known for its cutting-edge data management solutions. His role involves leveraging his expertise in data management to develop innovative solutions that streamline processes and improve efficiency.
Collaborations
Some of his notable coworkers include Yashaswa Jain and Vijay Harihara Iyer Sankar. Their collaboration contributes to the innovative environment at Rubrik, Inc., fostering advancements in data management technologies.
Conclusion
Disha Singla's contributions to data management through his patent demonstrate his commitment to innovation in the field. His work not only enhances the efficiency of data backup processes but also showcases the potential of machine learning in automating service level agreements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
