This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Capital One Services, LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Soma Sekhar Tankala
Introduction
Soma Sekhar Tankala is an accomplished inventor based in McLean, VA (US). He has made significant contributions to the field of machine learning, particularly in error resolution systems. His innovative work focuses on enhancing the accuracy and efficiency of error detection in user submissions.
Latest Patents
Soma holds a patent for "Methods and systems for real-time resolution of errors that are detected by multivariate machine learning models between users using univariate responses." This patent describes methods and systems designed to generate real-time resolutions for errors arising from user submissions and computer processing tasks. The technology utilizes a machine learning model trained to return probability error scores based on multiple variables. By employing a multivariate approach, the system achieves highly accurate error detection.
Career Highlights
Soma is currently employed at Capital One Services, LLC, where he applies his expertise in machine learning to develop innovative solutions. His work has been instrumental in improving the accuracy of error detection and resolution processes within the company.
Collaborations
Soma has collaborated with talented colleagues, including Yasong Zhou and Andrew Cozzolino, to further enhance the capabilities of their projects. These collaborations have fostered a creative environment that encourages innovation and problem-solving.
Conclusion
Soma Sekhar Tankala's contributions to the field of machine learning and error resolution exemplify the impact of innovative thinking in technology. His patent and work at Capital One Services, LLC highlight his commitment to advancing the capabilities of machine learning systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
