Company Filing History:
Years Active: 2022-2025
Title: Logan Ringer: Innovator in Machine Learning and Quality Metrics
Introduction
Logan Ringer is an accomplished inventor based in Mukilteo, WA (US). He has made significant contributions to the fields of machine learning and quality metrics, holding a total of 3 patents. His work focuses on enhancing the classification of free-text content and predicting software quality metrics.
Latest Patents
Logan's latest patents include innovative methods for identifying noise in verbal feedback using artificial text derived from non-textual parameters. This patent outlines systems for classifying free-text content, such as customer feedback, by generating both a free-text corpus and an artificial-text corpus. The artificial-text corpus is created by applying specific rules to parameter values, which are then transformed into a finite set of words. These words are concatenated into a fixed sequence wordlist, allowing for the generation of feature vectors that are utilized in a machine learning model for classification.
Another notable patent focuses on feature deployment readiness prediction. This invention provides systems and methods for generating a predicted quality metric based on telemetry data from devices executing software. By identifying covariates impacting the quality metric and performing a coarsened exact matching process, Logan's work enables the generation of a predicted quality metric for software based on data from different groups of devices.
Career Highlights
Logan Ringer is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His expertise in machine learning and software quality metrics has positioned him as a valuable asset within the company.
Collaborations
Logan collaborates with talented individuals such as Connie Qin Yang and Matthew Scott Rosoff, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Logan Ringer's contributions to machine learning and quality metrics demonstrate his commitment to advancing technology. His patents reflect a deep understanding of complex systems and a drive to improve software performance.