Fremont, CA, United States of America

Ritesh Kumar Sinha

USPTO Granted Patents = 1 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ritesh Kumar Sinha: Innovator in Data Management Technologies

Introduction

Ritesh Kumar Sinha is a notable inventor based in Fremont, CA. He has made significant contributions to the field of data management, particularly in the area of data lineage and removal policies. His innovative approach addresses critical challenges in managing customer data effectively.

Latest Patents

Ritesh holds a patent for a groundbreaking invention titled "Tracking data lineage and applying data removal to enforce data removal policies." This patent involves a graph that tracks the lineage of customer data, detailing when it was originally extracted from a customer computing system. The invention also includes transformation results that indicate any modifications performed on the customer data. The graph is utilized to identify nodes that have expired based on data removal policies. Consequently, the customer data represented by these expired nodes is deleted, and the graph is modified accordingly. The updated graph is then stored in persistent memory until the next data removal is triggered. Ritesh has 1 patent to his name.

Career Highlights

Ritesh Kumar Sinha is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing data management systems, ensuring compliance with data removal policies, and improving overall data integrity.

Collaborations

Ritesh collaborates with talented professionals in his field, including Arpan Jugalkishor Asawa and Brian D Remick. These collaborations foster a creative environment that drives innovation and leads to the development of cutting-edge technologies.

Conclusion

Ritesh Kumar Sinha is a prominent inventor whose work in data management technologies is paving the way for more efficient and compliant data handling practices. His contributions are vital in addressing the complexities of data lineage and removal policies in today's digital landscape.

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