Bothell, WA, United States of America

Gaurav Malhotra

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Gaurav Malhotra: Innovator in Data Tagging Technologies

Introduction

Gaurav Malhotra is a notable inventor based in Bothell, WA (US). He has made significant contributions to the field of data management and tagging technologies. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of data processing systems.

Latest Patents

Gaurav's latest patents include a method and system for automatically tagging data. This innovation addresses the challenges of auto-tagging data in a data lake or data storage. The system generates a statistical summary of the data lake and interactively receives data from a selected column of an exemplar data file. By utilizing lightweight off-line processing, the system efficiently creates a statistical summary. A graphical user interface allows users to interactively select an exemplar data file, leading to the generation of a list of candidate data-tagging patterns. This list is updated by removing patterns that under-generalize the data, ultimately determining a data-tagging pattern by selecting a candidate profile with the least number of matching columns in the data lake.

Career Highlights

Gaurav Malhotra is currently employed at Microsoft Technology Licensing, LLC. His role involves developing innovative solutions that improve data management processes. His expertise in this area has positioned him as a valuable asset to his team and the company.

Collaborations

Some of Gaurav's coworkers include Yeye He and Jie Song. Their collaborative efforts contribute to the advancement of technologies in data tagging and management.

Conclusion

Gaurav Malhotra's work in data tagging technologies showcases his innovative spirit and dedication to improving data management systems. His contributions are paving the way for more efficient data processing solutions in the industry.

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