This inventor holds 2 USPTO granted patents. Top assignee: Paypal, Inc.. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- San Jose, CA (US) (2022)
- Phoenix, AZ (US) (2023)
Company Filing History:
Years Active: 2022-2023
Title: Innovations of Sree Ramakumar Velaga
Introduction
Sree Ramakumar Velaga is an accomplished inventor based in Phoenix, AZ. He has made significant contributions to the field of machine learning, particularly in optimizing user submissions and payment volume predictions. With a total of 2 patents, his work showcases the intersection of technology and practical applications.
Latest Patents
One of his latest patents is titled "Detecting incorrect field values of user submissions using machine learning techniques." This invention discloses methods for identifying incorrect fields in user submissions through machine learning. The corrective system can predict correct values for multiple fields, enhancing the accuracy of user data. Another notable patent is "Optimizing machine learning model total payment volume predictions using model stacking." This patent involves techniques that improve predictive accuracy by utilizing various data sources, allowing for better forecasting of total payment volumes.
Career Highlights
Sree Ramakumar Velaga currently works at PayPal, Inc., where he applies his expertise in machine learning to enhance financial technologies. His innovative approaches have contributed to the development of systems that improve user experience and operational efficiency.
Collaborations
He has collaborated with notable colleagues such as Yifan Liu and Haiou Wang, further enriching the research and development environment at PayPal.
Conclusion
Sree Ramakumar Velaga's contributions to machine learning and his innovative patents reflect his commitment to advancing technology in practical ways. His work continues to influence the fields of user data accuracy and financial predictions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
