Newark, NJ, United States of America

James Kwiatkowski

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of James Kwiatkowski

Introduction

James Kwiatkowski is an accomplished inventor based in Newark, NJ. He has made significant contributions to the field of machine learning and natural language processing. With a total of 2 patents, Kwiatkowski's work focuses on enhancing the interaction between users and data through advanced technology.

Latest Patents

Kwiatkowski's latest patents include systems and methods for large language model-driven orchestration of task-specific machine learning software agents. These systems are designed to receive user-provided data record queries that include natural language requests for information. The technology determines user persona attributes, such as user roles and security parameters, to generate context queries. By inputting the natural language request and context attributes into a model orchestration large language model (LLM), the system outputs instructions to machine learning agents. These agents then provide responses based on the user query, which are further processed to deliver a natural language response back to the user.

Career Highlights

James Kwiatkowski is currently employed at Broadridge Financial Solutions, Inc., where he continues to innovate in the field of financial technology. His work has been instrumental in developing systems that improve data accessibility and user experience.

Collaborations

Kwiatkowski collaborates with talented individuals such as Joseph Lo and Fitim Kryeziu, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

James Kwiatkowski's contributions to machine learning and natural language processing demonstrate his commitment to advancing technology. His patents reflect a deep understanding of user needs and the potential of machine learning to transform data interaction.

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