Bengaluru, India

Aakanksha Mudgal

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Rubrik, Inc.. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Aakanksha Mudgal: Innovator in Data Management Technologies

Introduction

Aakanksha Mudgal is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of data management through her innovative patent. Her work focuses on enhancing the efficiency of data replication processes, which is crucial in today's data-driven world.

Latest Patents

Aakanksha holds a patent for a groundbreaking invention titled "Fingerprint-based data replication across storage systems." This patent describes methods, systems, and devices for data management. The techniques outlined in her patent enable a data management system (DMS) to determine the amount of data to be pulled from a source cluster before performing a replication of a source file. By reading an index file associated with the source file, the DMS can identify data blocks that differ from those in a base file stored on the target cluster. This profiling allows for an optimized replication process, reducing latency and improving overall efficiency.

Career Highlights

Aakanksha is currently employed at Rubrik, Inc., a company known for its innovative solutions in data management and cloud services. Her role involves leveraging her expertise to develop advanced technologies that streamline data operations.

Collaborations

Aakanksha collaborates with her coworker, Nikhil Verma, to further enhance the capabilities of their projects. Together, they work on innovative solutions that address the challenges faced in data management.

Conclusion

Aakanksha Mudgal is a trailblazer in the field of data management, with her patent showcasing her innovative approach to solving complex problems. Her contributions are paving the way for more efficient data replication processes, which are essential in the modern digital landscape.

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