Patents by Inventor Jonathan Michael Sidhu

Jonathan Michael Sidhu 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 of anomaly detection in large scale production environments using time-series modeling
    Patent number: 12699876
    Abstract: Systems and methods of anomaly detection using a generalized time-series forecasting model are disclosed. A time-series dataset is received and a forecast is generated for the time-series dataset utilizing a trained generalized time-series forecasting model configured to utilize a fixed set of characteristic features. A first anomaly determination for the time-series dataset is generated based on a comparison of the forecast for the time-series dataset to the time-series dataset. In response to the first anomaly determination identifying an anomaly, an anomaly identification notification is transmitted to an additional system associated with the anomaly identification.
    Type: Grant
    Filed: April 17, 2023
    Date of Patent: August 4, 2026
    Assignee: Walmart Apollo, LLC
    Inventors: Krishna Koti Keshva Srinivas, Ekta Gujral, Sanjay Valappile Kandy, Jonathan Michael Sidhu, Ravishankar Balasubramanian, Abin Abraham, Dilip Jana, Poonam Chandramohan Dhanwani, Bijayani Sanghamitra Mishra, Himani Agrawal
  • SYSTEMS AND METHODS OF ANOMALY DETECTION IN LARGE SCALE PRODUCTION ENVIRONMENTS USING TIME-SERIES MODELING
    Publication number: 20240346287
    Abstract: Systems and methods of anomaly detection using a generalized time-series forecasting model are disclosed. A time-series dataset is received and a forecast is generated for the time-series dataset utilizing a trained generalized time-series forecasting model configured to utilize a fixed set of characteristic features. A first anomaly determination for the time-series dataset is generated based on a comparison of the forecast for the time-series dataset to the time-series dataset. In response to the first anomaly determination identifying an anomaly, an anomaly identification notification is transmitted to an additional system associated with the anomaly identification.
    Type: Application
    Filed: April 17, 2023
    Publication date: October 17, 2024
    Inventors: Krishna Koti Keshva Srinivas, Ekta Gujral, Sanjay Valappile Kandy, Jonathan Michael Sidhu, Ravishankar Balasubramanian, Abin Abraham, Dilip Jana, Poonam Chandramohan Dhanwani, Bijayani Sanghamitra Mishra, Himani Agrawal