Daniel Jeng

Title: The Innovative Mind of Daniel Jeng

Introduction

Daniel Jeng is an accomplished inventor based in Sunnyvale, CA. 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

Daniel Jeng 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 payment processors, optimize message parameters, and execute automated retry strategies if initial requests are declined.

Career Highlights

Daniel Jeng is currently employed at Google Inc., where he continues to develop innovative solutions in the realm of payment systems. His work has garnered attention for its potential to revolutionize how payments are authorized and processed.

Collaborations

Daniel has collaborated with notable colleagues, including Mateusz Waldemar Mach and Mark Damien Walick. Their combined expertise contributes to the advancement of technology in payment systems.

Conclusion

Daniel Jeng's innovative approach to payment authorization through machine learning exemplifies the potential of technology to enhance financial transactions. His contributions are paving the way for more efficient and secure payment systems in the future.