Company Filing History:
Years Active: 2025
Title: Zexiong Yan - Innovator in Multi-Assistant Systems
Introduction
Zexiong Yan is a prominent inventor based in Hamburg, Germany. He is known for his innovative contributions to the field of data processing in multi-assistant systems. His work focuses on enhancing the functionality and efficiency of speech processing systems.
Latest Patents
Zexiong Yan holds a patent for "Data processing in a multi-assistant system." This patent describes techniques for enabling access in a multi-assistant speech processing system. The first assistant system can utilize components of a second assistant system as data processing components. The patent outlines how runtime operational data and user input data related to the first assistant are kept separate from the processing data and input data related to the second assistant. This is achieved by propagating a first account ID for user inputs directed to the first assistant through the processing pipeline, while using a second account for user inputs directed to the second assistant. A mapping between the first account ID and the second account ID is accessible to a select number of system components. The handoffs between the two assistants are managed in a way that ensures data related to one assistant is not accessible by the other assistant.
Career Highlights
Zexiong Yan is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in technology. His work has significantly contributed to advancements in multi-assistant systems, making them more efficient and user-friendly.
Collaborations
Some of Zexiong Yan's notable coworkers include Ramya Chaganti and Mark Lawrence. Their collaboration has fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Zexiong Yan is a key figure in the realm of multi-assistant systems, with a focus on data processing innovations. His contributions are shaping the future of speech processing technology, making it more accessible and efficient for users.