Company Filing History:
Years Active: 2024-2025
Title: Innovations of Inventor Lingzhi Du
Introduction: Lingzhi Du is an accomplished inventor based in El Monte, CA (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: Lingzhi Du 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: Lingzhi Du has made a notable impact in the field of machine learning through his innovative approaches. His patent reflects his expertise and commitment to advancing technology in this area. He is currently associated with ZestFinance, Inc., where he continues to work on cutting-edge solutions.
Collaborations: Lingzhi Du collaborates with talented professionals in his field, including David Sheehan and Siavash Yasini. Their combined efforts contribute to the development of innovative technologies and solutions.
Conclusion: Lingzhi Du is a prominent inventor whose work in machine learning has led to significant advancements in automated systems. His contributions are shaping the future of technology and enhancing the capabilities of machine learning models.