Chanhassen, MN, United States of America

Theodore Russell Cahall, Jr


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovations of Theodore Russell Cahall, Jr.

Introduction

Theodore Russell Cahall, Jr. is an accomplished inventor based in Chanhassen, Minnesota. He has made significant contributions to the field of technology, particularly in the realm of transaction processing systems. His innovative approach combines machine learning with high-volume transaction queueing, showcasing his expertise and forward-thinking mindset.

Latest Patents

Cahall holds a patent for a system and method titled "High volume transaction queueing with machine learning." This invention is designed to provide a high-volume transaction queueing and reserve e-commerce solution. It automatically engages and queues transactions when a primary back-end transaction processing system becomes unresponsive or unstable. The use of machine learning algorithms allows for the control of transaction submission rates by queuing them and throttling the rate at which they are processed. This is based on self-awareness, constant monitoring, feedback, and health checks of the primary system. When the metrics indicate that the third-party system can accept transactions again, the system automatically feeds the queued transactions along with real-time orders at a manageable rate.

Career Highlights

Cahall is currently employed at Digital River, Inc., where he continues to innovate and develop solutions that enhance transaction processing capabilities. His work has had a significant impact on the efficiency and reliability of e-commerce transactions.

Collaborations

Throughout his career, Cahall has collaborated with talented professionals, including Sandeep Tikoo and Ivan Atanasov. These collaborations have contributed to the development of cutting-edge technologies in the field.

Conclusion

Theodore Russell Cahall, Jr. is a notable inventor whose work in high-volume transaction queueing and machine learning has paved the way for advancements in e-commerce solutions. His contributions continue to influence the industry and improve transaction processing systems.

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