This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2023-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2024
Title: Innovations of Umut Orhan in Machine Learning
Introduction
Umut Orhan is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of machine learning, particularly in the area of anomaly detection. With a total of two patents to his name, Orhan's work is recognized for its innovative approach to improving data analysis.
Latest Patents
Umut Orhan's latest patents focus on machine learning-based selection of metrics for anomaly detection. The first patent describes a method where a plurality of metrics records is obtained, including records indicating metrics for which anomaly analysis has been performed. A machine learning model is trained using a training data set that includes these metrics records. This model predicts an anomaly analysis relevance score for an input record indicating a metric name. The collection of a particular metric of an application is initiated based on the anomaly analysis relevance score obtained for that metric using the trained model.
Career Highlights
Orhan is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning to develop innovative solutions. His work has contributed to enhancing the efficiency and accuracy of anomaly detection processes within the company.
Collaborations
Umut Orhan has collaborated with notable colleagues such as Harshad Vasant Kulkarni and Jasmeet Chhabra. Their combined efforts in research and development have further advanced the field of machine learning.
Conclusion
Umut Orhan's contributions to machine learning and anomaly detection demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of data analysis and its applications in real-world scenarios.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
