Patents by Inventor Palak Agrawal

Palak Agrawal 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).

  • Publication number: 20230334046
    Abstract: Inferences may be obtained to handle access requests at a non-relational database system. An access request may be received at a non-relational database system. The non-relational database system may determine that the access request uses a machine learning model to complete the access request. The non-relational database system may cause an inference to be generated using data items for the access request as input to the machine learning model. The access request may be completed using the generated inference.
    Type: Application
    Filed: June 27, 2023
    Publication date: October 19, 2023
    Applicant: Amazon Technologies, Inc.
    Inventors: Akshat Vig, Amit Gupta, Palak Agrawal, Amit Purohit, Benjamin Donald Wood
  • Patent number: 11755620
    Abstract: Non-relational database operations are invoked to provide results consistent with commands specified in a relational query language. A request to access data in a non-relational database is received that includes one or more commands specified in a query language for accessing data according to a relational data scheme. The request may be evaluated to determine one or more Application Programming Interfaces (APIs) to invoke operations at the non-relational database that provide a result consistent with the commands specified in the query language. The determined APIs are executed and a result returned for the request based on the execution of the APIs.
    Type: Grant
    Filed: April 9, 2020
    Date of Patent: September 12, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Vaibhav Jain, Rishabh Jain, Amit Gupta, Palak Agrawal, Sagar Mundra, Benjamin Donald Wood, Lewis Bruck
  • Patent number: 11726999
    Abstract: Inferences may be obtained to handle access requests at a non-relational database system. An access request may be received at a non-relational database system. The non-relational database system may determine that the access request uses a machine learning model to complete the access request. The non-relational database system may cause an inference to be generated using data items for the access request as input to the machine learning model. The access request may be completed using the generated inference.
    Type: Grant
    Filed: June 14, 2021
    Date of Patent: August 15, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Akshat Vig, Amit Gupta, Palak Agrawal, Amit Purohit, Benjamin Donald Wood