This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Snap Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovative Contributions of Li Shi
Introduction
Li Shi is a prominent inventor based in Culver City, CA (US). She has made significant strides in the field of technology, particularly with her innovative patent related to lift reporting systems. Her work exemplifies the intersection of user behavior data and machine learning, showcasing her expertise and forward-thinking approach.
Latest Patents
Li Shi holds a patent for a lift reporting system. This system performs operations that include accessing user behavior data associated with one or more machine-learned (ML) models. The ML models are linked with identifiers, and the system determines causal conversions based on the user behavior data. These causal conversions comprise values, which are then compared to determine a ranking of the ML models. Ultimately, the system causes the display of a graphical user interface (GUI) that includes identifiers associated with the ML models. This patent highlights her innovative approach to integrating technology and user experience.
Career Highlights
Li Shi is currently employed at Snap Inc., where she continues to develop her ideas and contribute to the company's technological advancements. Her role at Snap Inc. allows her to work on cutting-edge projects that push the boundaries of what is possible in the tech industry.
Collaborations
Li has collaborated with notable colleagues, including Simon Hollands and Amit Adur. These collaborations have further enriched her work and contributed to the innovative environment at Snap Inc.
Conclusion
Li Shi's contributions to the field of technology, particularly through her patent for a lift reporting system, demonstrate her innovative spirit and commitment to advancing user experience through machine learning. Her work continues to inspire and pave the way for future innovations in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
