This inventor holds 1 USPTO granted patent. Top assignee: Capital One Services, LLC. 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: Boryana Manz: Innovator in Machine Learning Optimization
Introduction
Boryana Manz is an accomplished inventor based in Plano, TX (US). She has made significant contributions to the field of machine learning, particularly in resource allocation optimization. Her innovative approach has the potential to enhance the efficiency of multi-dimensional machine learning environments.
Latest Patents
Boryana holds a patent titled "Resource allocation optimization for multi-dimensional machine learning environments." This patent involves obtaining first data from a data feed intended for multiple machine learning models. It includes detecting a changepoint in the first data, executing a first machine learning model to generate output datasets, and computing a performance score based on these outputs. The process allows for the execution of a second machine learning model based on the performance score meeting specific conditions. Boryana's work in this area demonstrates her expertise in optimizing machine learning processes.
Career Highlights
Boryana is currently employed at Capital One Services, LLC, where she applies her skills in machine learning and data optimization. Her role involves collaborating with other professionals to develop innovative solutions that enhance the company's technological capabilities.
Collaborations
Boryana has worked alongside talented colleagues, including Abhishek Kumar Shrivastava and Yingbo Li. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Boryana Manz is a notable inventor whose work in machine learning optimization is paving the way for advancements in the field. Her contributions are not only valuable to her company but also to the broader technological landscape.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
