Company Filing History:
Years Active: 2024-2025
Title: Qiumeng Yu: Innovator in Machine Learning Model Development
Introduction
Qiumeng Yu is a prominent inventor based in Los Alamos, NM (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on developing automated systems that enhance the efficiency of machine learning model development, analysis, and refinement.
Latest Patents
Qiumeng Yu holds a patent for "Automated systems for machine learning model development, analysis, and refinement." This application describes systems and methods for generating machine learning models (MLMs). An exemplary method includes obtaining a sample and user input data characterizing a product or service. A subset of the data is selected from the sample based on sampling the sample according to the user input data. An MLM is trained by applying the data subset as training input to the MLM, thereby providing a trained MLM to emulate a customer selection process unique to the product or service. A user interface (UI) configured to receive other user input data and cause the trained MLM to execute on the other user input data, thereby testing the trained MLM, is presented. A summary of results from the execution of the trained MLM is generated and presented in the UI. The summary of results indicates a contribution to the trained MLM of each of a plurality of features.
Career Highlights
Qiumeng Yu is currently employed at ZestFinance, Inc., where he continues to push the boundaries of machine learning technology. His innovative approach has garnered attention in the tech community, and his work is paving the way for advancements in automated systems.
Collaborations
Some of his notable coworkers include David Sheehan and Siavash Yasini, who contribute to the collaborative environment that fosters innovation at ZestFinance.
Conclusion
Qiumeng Yu's contributions to machine learning model development exemplify the impact of innovative thinking in technology. His patent and ongoing work at ZestFinance highlight the importance of automation in enhancing machine learning processes.