This inventor holds 1 USPTO granted patent. Top assignee: Digital River, Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Ivan Atanasov Atanasov: Innovator in High-Volume Transaction Queueing
Introduction
Ivan Atanasov Atanasov is a notable inventor based in Chanhassen, MN (US). He holds a patent that showcases his innovative approach to high-volume transaction queueing using machine learning. His work is significant in the realm of e-commerce solutions, particularly in enhancing transaction processing systems.
Latest Patents
Atanasov's patent, titled "High volume transaction queueing with machine learning," presents a system and method designed to provide a robust e-commerce solution. This invention automatically engages and queues transactions when a primary back-end transaction processing system becomes unresponsive or unstable. By utilizing machine learning algorithms, the invention effectively controls transaction submission rates, ensuring that transactions are queued and processed at a manageable rate based on continuous monitoring and feedback from the primary system.
Career Highlights
Ivan Atanasov Atanasov is currently associated with Digital River, Inc., where he applies his expertise in developing innovative solutions for transaction processing. His contributions have been instrumental in improving the efficiency and reliability of e-commerce transactions.
Collaborations
Atanasov has worked alongside notable colleagues such as Theodore Russell Cahall, Jr. and Sandeep Tikoo. Their collaborative efforts have contributed to advancements in technology and transaction processing systems.
Conclusion
Ivan Atanasov Atanasov's innovative work in high-volume transaction queueing exemplifies the impact of machine learning on e-commerce solutions. His contributions continue to shape the future of transaction processing systems, ensuring they remain responsive and efficient.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
