This inventor holds 1 USPTO granted patent. Top assignee: Jpmorgan Chase Bank, N.a.. 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: Yicheng Pu: Innovator in Machine Learning Solutions
Introduction
Yicheng Pu is a prominent inventor based in Jersey City, NJ (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on developing frameworks that simplify the creation of machine learning models.
Latest Patents
Yicheng Pu holds a patent titled "Method and system for developing a machine learning model." This patent outlines a comprehensive framework for the easy development of machine learning solutions. The framework includes connecting data sources at all scale levels from a user, assessing data schema, data risk, and data quality status. It also performs scalable feature engineering and transformation, automates machine learning model optimization, and generates production code along with automatic model documentation. This patent showcases his expertise in creating efficient and effective machine learning systems.
Career Highlights
Yicheng Pu is currently employed at JPMorgan Chase Bank, N.A., where he applies his skills in machine learning and data analysis. His role involves leveraging his patented framework to enhance the bank's technological capabilities. His contributions are vital in driving innovation within the financial sector.
Collaborations
Yicheng has collaborated with notable colleagues such as Drew Afromsky and Zaiying Huang. These partnerships have allowed him to further refine his ideas and implement advanced solutions in machine learning.
Conclusion
Yicheng Pu is a key figure in the development of machine learning technologies. His innovative patent and work at JPMorgan Chase Bank, N.A. highlight his commitment to advancing the field. His contributions are paving the way for more efficient machine learning applications in various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
