This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Rubrik, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovator Spotlight: Swapnil Bawaskar
Introduction
Swapnil Bawaskar is a notable inventor based in Seattle, WA. He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing the efficiency of data observation procedures, which is crucial in today's data-driven world.
Latest Patents
Swapnil holds a patent titled "Supporting non-snappable data sources." This patent describes methods, systems, and devices for data management. The invention outlines a process where requests to apply data observation to various data sources are received via an interface. It determines whether snapshots are supported for these data sources. A snapshot-supported data source is stored at one data storage, while a representation of a snapshot-unsupported data source is stored at another. The first data is extracted from the snapshot, and the second data is extracted from the representation, allowing for distinct data observation procedures to be applied to each. The results of these procedures are reported through an interface. This innovative approach enhances the management and observation of data across different sources.
Career Highlights
Swapnil is currently employed at Rubrik, Inc., where he continues to develop and refine his ideas in data management. His work at Rubrik has positioned him as a key player in the industry, contributing to the company's mission of simplifying data management for businesses.
Collaborations
Some of his notable coworkers include Manjunath Chinni and Sai Kiran Katuri. Their collaboration fosters a creative environment that encourages innovation and the development of cutting-edge solutions in data management.
Conclusion
Swapnil Bawaskar's contributions to data management through his patent demonstrate his commitment to innovation in the field. His work not only enhances data observation procedures but also reflects the importance of collaboration in driving technological advancements.