This inventor holds 1 USPTO granted patent. Top assignee: Optum, Inc.. 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: Yiriliam Fernandez Gonzalez: Inventor in Machine Learning and Path Optimization.
Introduction
Yiriliam Fernandez Gonzalez is an inventor associated with Optum, Inc. and based in Mint Hill, North Carolina. His patent work focuses on applying machine learning to optimize traversal paths through networks.
Latest Patents
Fernandez Gonzalez is named on 1 patent: “Machine learning techniques for traversal path optimization.” The invention describes a machine-learning model that evaluates candidate paths through a traversal network. It determines a feature set for each candidate path and uses those features to generate path scores, supporting the selection of an optimized route.
Career Highlights
His documented patent activity highlights work at the intersection of machine learning, network navigation, and path optimization. The patent identifies Optum, Inc. as his company affiliation.
Collaborations
Fernandez Gonzalez’s listed coworkers include Ramprasad Anandam Gaddam and Gregory J. Boss. Their names provide context for the professional network associated with his patent work.
Conclusion
Yiriliam Fernandez Gonzalez’s patent presents a machine-learning approach to scoring and optimizing traversal paths, reflecting his documented contributions to innovation at Optum, Inc.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile