Erie, CO, United States of America

Brian Wesley Goldman


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Brian Wesley Goldman: Innovator in Payment Authorization Technology

Introduction

Brian Wesley Goldman is an accomplished inventor based in Erie, Colorado. He has made significant contributions to the field of payment systems through his innovative use of machine learning. His work focuses on enhancing the authorization of payments, making transactions more efficient and secure.

Latest Patents

Goldman holds a patent for "Payment authorization via machine learning." This patent describes computing systems and methods that utilize machine learning to improve payment authorization processes. Unlike traditional static approaches, his invention allows for dynamic and real-time optimization of various request parameters associated with payment authorization requests. The system employs machine-learned models to select the most suitable payment processor, optimize message parameters, and implement automated retry strategies if initial authorization requests are declined.

Career Highlights

Brian Goldman is currently employed at Google Inc., where he continues to develop innovative solutions in payment technology. His expertise in machine learning and payment systems has positioned him as a key player in the industry. With a focus on improving user experience and transaction security, Goldman is dedicated to advancing the capabilities of payment systems.

Collaborations

Goldman has worked alongside talented colleagues, including Mateusz Waldemar Mach and Mark Damien Walick. Their collaborative efforts contribute to the innovative environment at Google Inc., fostering the development of cutting-edge technologies in payment authorization.

Conclusion

Brian Wesley Goldman is a notable inventor whose work in payment authorization technology exemplifies the potential of machine learning in enhancing financial transactions. His contributions are paving the way for more efficient and secure payment systems in the future.

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