This inventor holds 1 USPTO granted patent. Top assignee: T-Mobile USA, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Amy Soon Lo: Innovator in Data Retrieval Technologies
Introduction
Amy Soon Lo is a prominent inventor based in Renton, WA (US). She has made significant contributions to the field of data retrieval, particularly through her innovative patent that enhances the efficiency of querying databases. Her work is instrumental in bridging the gap between natural language requests and data retrieval systems.
Latest Patents
Amy Soon Lo holds a patent for "Data retrieval using query generation models." This patent encompasses systems, methods, and devices that relate to data retrieval using query generation models. In one example aspect, the system receives a natural language request from a user for data stored within a database. The system utilizes a series of specialized large language model (LLM) agents to determine where the relevant data is stored within the database and how it can be retrieved. Subsequently, the system inputs this information into a query generation LLM, which generates a data retrieval query for accessing the relevant data. Finally, the system executes the query and outputs a natural language response that includes the data requested by the user.
Career Highlights
Amy is currently employed at T-Mobile USA, Inc., where she applies her expertise in data retrieval technologies. Her innovative approach has positioned her as a key player in her field, contributing to advancements that enhance user experience and data accessibility.
Collaborations
Amy collaborates with talented individuals such as Sreekanth Telugu and Amina Noor. These partnerships foster a creative environment that drives innovation and leads to the development of cutting-edge technologies.
Conclusion
Amy Soon Lo is a trailblazer in the realm of data retrieval, with her patent showcasing her ability to merge technology with user needs. Her contributions continue to shape the future of data accessibility and retrieval systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
