Patents by Inventor Steven EGE

Steven EGE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for generating explainable features for machine learning
    Patent number: 12619613
    Abstract: A system and method are provided for feature engineering. The method may include obtaining data from a plurality of data sources. The method may also include generating, based on the data, features for training machine learning models using a single data pipeline that uses a feature generation logic that is separate from an execution logic. The method may also include generating, based on relations and/or joins in the feature generation logic, metadata for explaining the features, and generating, based on the metadata, lineage information representing a mapping of one or more features to intermediate tables and/or input tables. The method may also include displaying the lineage information representing the mapping, including allowing a user to select and/or drill down different features, intermediate tables and/or input tables. The method may also include storing the features and the metadata for the features to a feature store.
    Type: Grant
    Filed: February 28, 2025
    Date of Patent: May 5, 2026
    Assignee: Elevance Health, Inc.
    Inventors: Abhijeet Singh Bais, Rajan Narayanan, Sanjay Yermalkar, Steven Ege, Yinxiang Wang
  • SYSTEMS AND METHODS FOR GENERATING EXPLAINABLE FEATURES FOR MACHINE LEARNING
    Publication number: 20250272297
    Abstract: A system and method are provided for feature engineering. The method may include obtaining data from a plurality of data sources. The method may also include generating, based on the data, features for training machine learning models using a single data pipeline that uses a feature generation logic that is separate from an execution logic. The method may also include generating, based on relations and/or joins in the feature generation logic, metadata for explaining the features, and generating, based on the metadata, lineage information representing a mapping of one or more features to intermediate tables and/or input tables. The method may also include displaying the lineage information representing the mapping, including allowing a user to select and/or drill down different features, intermediate tables and/or input tables. The method may also include storing the features and the metadata for the features to a feature store.
    Type: Application
    Filed: February 28, 2025
    Publication date: August 28, 2025
    Inventors: Abhijeet Singh BAIS, Rajan NARAYANAN, Sanjay YERMALKAR, Steven EGE, Shawn WANG