New Jersey, NJ, United States of America

Mrugesh S Kulkarni

This inventor holds 2 USPTO granted patents. Top assignee: Wells Fargo Bank, N.A.. Active years: 2023-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mrugesh S Kulkarni. Retrieved from https://idiyas.com/inventor/mrugesh-s-kulkarni

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Mrugesh S Kulkarni: Innovator in Synthetic Data Generation

Introduction

Mrugesh S Kulkarni is a notable inventor based in New Jersey, NJ (US). He has made significant contributions to the field of synthetic data generation, holding 2 patents that showcase his innovative approach to data processing.

Latest Patents

Mrugesh's latest patents focus on methods, apparatuses, and computer program products for synthetic data generation and dynamic processing model selection. One of the key methods involves receiving a request for synthetic data generation that includes various configuration data parameters. The process includes selecting at least one processing model from a range of options based on these parameters. Subsequently, the method generates synthetic datasets containing synthetic data values through the chosen processing model. Finally, the generated datasets are provided to users via a user interface.

Career Highlights

Mrugesh currently works at Wells Fargo Bank, N.A., where he applies his expertise in synthetic data generation. His work is instrumental in enhancing data processing capabilities within the organization.

Collaborations

He collaborates with talented coworkers, including Aadarsh Pratik and Tarun Bhatnagar, contributing to innovative projects and advancements in their field.

Conclusion

Mrugesh S Kulkarni is a prominent figure in the realm of synthetic data generation, with a focus on dynamic processing model selection. His contributions are paving the way for advancements in data processing technologies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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