This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Capital One Services, LLC. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Boryana Manz: Innovator in Machine Learning Optimization
Introduction
Boryana Manz is a notable inventor based in McLean, VA (US). She has made significant contributions to the field of machine learning, particularly in resource allocation optimization. Her innovative work has led to the development of a patent that addresses complex challenges in 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 to be provided to a plurality of machine learning models. It includes detecting a changepoint in the first data, executing a first machine learning model on the first data to obtain first output datasets, and computing a first performance score based on these datasets. The patent also describes how a second machine learning model may be executed based on the first performance score satisfying a specific condition. Boryana has 1 patent to her name.
Career Highlights
Boryana is currently employed at Capital One Services, LLC, where she applies her expertise in machine learning and data optimization. Her role involves collaborating with other professionals to enhance the efficiency and effectiveness of machine learning models.
Collaborations
Some of her coworkers include Yingbo Li and Abhishek Kumar Shrivastava, with whom she collaborates on various projects related to machine learning and data analysis.
Conclusion
Boryana Manz is a pioneering inventor whose work in resource allocation optimization is shaping the future of machine learning. Her contributions are vital in advancing the capabilities of machine learning environments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
