This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Mongodb, Inc.. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: Sudarshan Muralidhar: Innovator in Data Synchronization Technologies
Introduction
Sudarshan Muralidhar is a notable inventor based in Brooklyn, NY (US). He has made significant contributions to the field of data synchronization, particularly in non-relational database systems. With a total of 2 patents, Muralidhar's work focuses on enhancing data accessibility and synchronization in various environments.
Latest Patents
Muralidhar's latest patents include "Systems and methods for tiered synchronization" and "Systems and methods for flexible synchronization." The first patent describes tiered synchronization systems and methods that are suitable for use in non-relational database systems distributed across multiple remote locations. This innovation allows for access to some or all functionality of a cloud-tier server at a mid-tier server, which can be locally accessible to clients independent of any remote connection to the cloud-tier server. The second patent outlines a method for managing data synchronization for a database with a dynamic schema. This method involves generating changesets at client devices, transmitting synchronization requests, and merging changesets to update data objects efficiently.
Career Highlights
Muralidhar is currently employed at MongoDB, Inc., where he continues to develop innovative solutions for data management and synchronization. His work has been instrumental in addressing challenges related to intermittent network connections and dynamic data environments.
Collaborations
Some of Muralidhar's coworkers include Michael Patrick O'Brien and Ian Ward, who contribute to the collaborative efforts in advancing data synchronization technologies.
Conclusion
Sudarshan Muralidhar's contributions to the field of data synchronization are noteworthy and impactful. His innovative patents reflect a deep understanding of the complexities involved in managing data across various platforms and environments.