Newton, MA, United States of America

Ehimwenma Nosakhare

USPTO Granted Patents = 3 

Average Co-Inventor Count = 10.3

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Ehimwenma Nosakhare: Innovator in Machine Learning and Data Integration

Introduction

Ehimwenma Nosakhare is a notable inventor based in Newton, MA (US). He has made significant contributions to the fields of machine learning and data integration, holding two patents that showcase his innovative approach to technology.

Latest Patents

Nosakhare's latest patents include "Proactively detecting and remediating anomalous devices using supervised machine learning model" and "Natural language-based data integration." The first patent describes a computer-implemented method for detecting and addressing anomalous devices within an enterprise network. This method utilizes a supervised machine learning model to predict the health of devices and generate recommended remedial actions based on synthetic data. The second patent outlines a method for performing natural language-based data integration, which involves executing a data integration application and generating a data pipeline based on natural language inputs.

Career Highlights

Ehimwenma Nosakhare is currently employed at Microsoft Technology Licensing, LLC. His work focuses on leveraging advanced technologies to enhance data management and device monitoring. His innovative methods have the potential to significantly improve enterprise network security and data integration processes.

Collaborations

Nosakhare collaborates with talented individuals such as Vivek Gupta and Shaily Jignesh Fozdar. These partnerships contribute to the development of cutting-edge solutions in the tech industry.

Conclusion

Ehimwenma Nosakhare is a distinguished inventor whose work in machine learning and data integration is paving the way for advancements in technology. His patents reflect a commitment to innovation and problem-solving in the digital landscape.

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