Patents by Inventor Sunil LAWRENCE

Sunil LAWRENCE 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).

  • CLUSTERING-BASED DEVIATION PATTERN RECOGNITION
    Publication number: 20260195414
    Abstract: In some implementations, a device may obtain first data associated with one or more accounts. The device may process the first data to obtain clustering information associated with the first data. The device may cluster the first data into one or more clusters based on the clustering information. The device may identify, via a second machine learning model, one or more deviation patterns associated with a portion of the first data that is included in a cluster of the one or more clusters. The device may determine, for the cluster, one or more operations to be performed to mitigate deviations based on the one or more deviation patterns. The device may perform an action, that is based on the one or more operations, associated with second data grouped into the cluster.
    Type: Application
    Filed: March 9, 2026
    Publication date: July 9, 2026
    Inventors: Komal Krishna PANDAMANETI, Lewis C. WONG, Dinesh VAJALA, Sunil LAWRENCE, Jason E. LINES, Stephen Michael LIPNER-BERNSTEIN, Sriram GANTA, Siva R. VEGESANA
  • Clustering-based deviation pattern recognition
    Patent number: 12613940
    Abstract: In some implementations, a device may obtain first data associated with one or more accounts. The device may process the first data to obtain clustering information associated with the first data. The device may cluster the first data into one or more clusters based on the clustering information. The device may identify, via a second machine learning model, one or more deviation patterns associated with a portion of the first data that is included in a cluster of the one or more clusters. The device may determine, for the cluster, one or more operations to be performed to mitigate deviations based on the one or more deviation patterns. The device may perform an action, that is based on the one or more operations, associated with second data grouped into the cluster.
    Type: Grant
    Filed: September 13, 2023
    Date of Patent: April 28, 2026
    Assignee: Capital One Services, LLC
    Inventors: Komal Krishna Pandamaneti, Lewis C. Wong, Dinesh Vajala, Sunil Lawrence, Jason E. Lines, Stephen Michael Lipner-Bernstein, Sriram Ganta, Siva R. Vegesana
  • CLUSTERING-BASED DEVIATION PATTERN RECOGNITION
    Publication number: 20250086253
    Abstract: In some implementations, a device may obtain first data associated with one or more accounts. The device may process the first data to obtain clustering information associated with the first data. The device may cluster the first data into one or more clusters based on the clustering information. The device may identify, via a second machine learning model, one or more deviation patterns associated with a portion of the first data that is included in a cluster of the one or more clusters. The device may determine, for the cluster, one or more operations to be performed to mitigate deviations based on the one or more deviation patterns. The device may perform an action, that is based on the one or more operations, associated with second data grouped into the cluster.
    Type: Application
    Filed: September 13, 2023
    Publication date: March 13, 2025
    Inventors: Komal Krishna PANDAMANETI, Lewis C. WONG, Dinesh VAJALA, Sunil LAWRENCE, Jason E. LINES, Stephen Michael LIPNER-BERNSTEIN, Sriram GANTA, Siva R. VEGESANA