Sunnyvale, CA, United States of America

Ramesh Chandra

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Databricks Inc.. Active years: 2024-2025.

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 4.5

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Ramesh Chandra: Innovator in Data Processing Technologies

Introduction

Ramesh Chandra is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of data processing, holding a total of 3 patents. His work focuses on innovative methods for data asset sharing and access management in cloud environments.

Latest Patents

Ramesh's latest patents include "Data asset sharing between accounts at a data processing service using cloud tokens." This invention outlines a process where a data processing service manages access to data assets through a governance module that verifies recipient permissions and issues tokens for access. Another significant patent is "Data sharing for network connected systems," which describes a method for a data manager service to facilitate user access to data associated with high-level data objects, ensuring that permissions are respected and URLs are generated for access.

Career Highlights

Ramesh Chandra is currently employed at Databricks Inc., a company known for its advanced data analytics and cloud computing solutions. His role involves leveraging his expertise in data processing to enhance the company's offerings and drive innovation in the industry.

Collaborations

Ramesh has collaborated with talented individuals such as Xiaotong Sun and Michael Paul Armbrust. These collaborations have contributed to the development of cutting-edge technologies in data management and processing.

Conclusion

Ramesh Chandra's contributions to data processing technologies through his patents and work at Databricks Inc. highlight his role as an influential inventor in the field. His innovative approaches continue to shape the future of data management.

Profile summary based on public USPTO records.
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