This inventor holds 5 USPTO granted patents and 7 published patent applications. Top assignee: Capital One Services, LLC. Active years: 2020-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- McLean, VA (US) (2020)
- Allen, TX (US) (2023)
Company Filing History:
Years Active: 2020-2026
Title: Innovations by Ruoyu Shao
Introduction
Ruoyu Shao is an accomplished inventor based in McLean, Virginia. He has made significant contributions to the fields of machine learning and credit profiling, holding a total of three patents. His work focuses on addressing biases in machine learning models and improving the processes involved in joint loan applications.
Latest Patents
One of Ruoyu Shao's latest patents is titled "Detecting category-specific bias using overfitted machine learning models." This patent describes methods and systems for detecting model bias by comparing predictions for specific categories of data. The system can identify category-specific model bias and provide alternative predictions through overfitted and alternative machine learning models. Another notable patent is "Methods and systems for consolidating profiles for joint application determination." This invention outlines systems and methods for consolidating credit profiles for co-applicants of a joint loan application, ensuring a more efficient process for determining joint model scores based on shared addresses.
Career Highlights
Ruoyu Shao is currently employed at Capital One Services, LLC, where he applies his expertise in machine learning and data analysis. His innovative approaches have contributed to the development of advanced systems that enhance decision-making processes in financial applications.
Collaborations
Ruoyu has collaborated with talented coworkers, including John Lujano and Fenglin Yan, who share his commitment to innovation and excellence in their respective fields.
Conclusion
Ruoyu Shao's work exemplifies the intersection of technology and finance, showcasing how innovative inventions can lead to improved systems and processes. His contributions continue to influence the landscape of machine learning and credit profiling.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
