Patents by Inventor Safeer Mohiuddin

Safeer Mohiuddin 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).

  • Automated distribution of models for execution on a non-edge device and an edge device
    Patent number: 11699093
    Abstract: Techniques for generating and executing an execution plan for a machine learning (ML) model using one of an edge device and a non-edge device are described. In some examples, a request for the generation of the execution plan includes at least one objective for the execution of the ML model and the execution plan is generated based at least in part on comparative execution information and network latency information.
    Type: Grant
    Filed: January 16, 2018
    Date of Patent: July 11, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Nagajyothi Nookula, Poorna Chand Srinivas Perumalla, Aashish Jindia, Danjuan Ye, Eduardo Manuel Calleja, Song Ge, Vinay Hanumaiah, Wanqiang Chen, Safeer Mohiuddin, Romi Boimer, Madan Mohan Rao Jampani, Fei Chen
  • Distributed stream-based database triggers
    Patent number: 11588755
    Abstract: Information describing changes to a collection of items maintained by a database may be stored in a log file. The information in the log file may be converted into a stream of records describing the changes. The records may be directed to a computing node selected for performing a trigger function in response to the change, based on applying a hash function to a portion of the record, identifying a hash space associated with a value output by the hash function, and mapping from the hash space to the selected computing node.
    Type: Grant
    Filed: January 31, 2022
    Date of Patent: February 21, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Parikshit Shivajirao Pol, Subramanian Sankara Subramanian, Rajaprabhu Thiruchi Loganathan, Rama Krishna Sandeep Pokkunuri, Gopinath Duddi, Akshat Vig, Safeer Mohiuddin, Sudarshan Narasimhan
  • DISTRIBUTED STREAM-BASED DATABASE TRIGGERS
    Publication number: 20220158953
    Abstract: Information describing changes to a collection of items maintained by a database may be stored in a log file. The information in the log file may be converted into a stream of records describing the changes. The records may be directed to a computing node selected for performing a trigger function in response to the change, based on applying a hash function to a portion of the record, identifying a hash space associated with a value output by the hash function, and mapping from the hash space to the selected computing node.
    Type: Application
    Filed: January 31, 2022
    Publication date: May 19, 2022
    Inventors: Parikshit Shivajirao Pol, Subramanian Sankara Subramanian, Rajaprabhu Thiruchi Loganathan, Rama Krishna Sandeep Pokkunuri, Gopinath Duddi, Akshat Vig, Safeer Mohiuddin, Sudarshan Narasimhan
  • Distributed stream-based database triggers
    Patent number: 11258725
    Abstract: Information describing changes to a collection of items maintained by a database may be stored in a log file. The information in the log file may be converted into a stream of records describing the changes. The records may be directed to a computing node selected for performing a trigger function in response to the change, based on applying a hash function to a portion of the record, identifying a hash space associated with a value output by the hash function, and mapping from the hash space to the selected computing node.
    Type: Grant
    Filed: May 21, 2020
    Date of Patent: February 22, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Parikshit Shivajirao Pol, Subramanian Sankara Subramanian, Rajaprabhu Thiruchi Loganathan, Rama Krishna Sandeep Pokkunuri, Gopinath Duddi, Akshat Vig, Safeer Mohiuddin, Sudarshan Narasimhan
  • DISTRIBUTED STREAM-BASED DATABASE TRIGGERS
    Publication number: 20200287841
    Abstract: Information describing changes to a collection of items maintained by a database may be stored in a log file. The information in the log file may be converted into a stream of records describing the changes. The records may be directed to a computing node selected for performing a trigger function in response to the change, based on applying a hash function to a portion of the record, identifying a hash space associated with a value output by the hash function, and mapping from the hash space to the selected computing node.
    Type: Application
    Filed: May 21, 2020
    Publication date: September 10, 2020
    Inventors: Parikshit Shivajirao Pol, Subramanian Sankara Subramanian, Rajaprabhu Thiruchi Loganathan, Rama Krishna Sandeep Pokkunuri, Gopinath Duddi, Akshat Vig, Safeer Mohiuddin, Sudarshan Narasimhan
  • Distributed stream-based database triggers
    Patent number: 10666574
    Abstract: Information describing changes to a collection of items maintained by a database may be stored in a log file. The information in the log file may be converted into a stream of records describing the changes. The records may be directed to a computing node selected for performing a trigger function in response to the change, based on applying a hash function to a portion of the record, identifying a hash space associated with a value output by the hash function, and mapping from the hash space to the selected computing node.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: May 26, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Parikshit Shivajirao Pol, Subramanian Sankara Subramanian, Rajaprabhu Thiruchi Loganathan, Rama Krishna Sandeep Pokkunuri, Gopinath Duddi, Akshat Vig, Safeer Mohiuddin, Sudarshan Narasimhan
  • AUTOMATED DISTRIBUTION OF MODELS FOR EXECUTION ON A NON-EDGE DEVICE AND AN EDGE DEVICE
    Publication number: 20190220783
    Abstract: Techniques for generating and executing an execution plan for a machine learning (ML) model using one of an edge device and a non-edge device are described. In some examples, a request for the generation of the execution plan includes at least one objective for the execution of the ML model and the execution plan is generated based at least in part on comparative execution information and network latency information.
    Type: Application
    Filed: January 16, 2018
    Publication date: July 18, 2019
    Inventors: Nagajyothi NOOKULA, Poorna Chand Srinivas PERUMALLA, Aashish JINDIA, Danjuan YE, Eduardo Manuel CALLEJA, Song GE, Vinay HANUMAIAH, Wanqiang CHEN, Safeer MOHIUDDIN, Romi BOIMER, Madan Mohan Rao JAMPANI, Fei CHEN
  • DISTRIBUTED STREAM-BASED DATABASE TRIGGERS
    Publication number: 20170093755
    Abstract: Information describing changes to a collection of items maintained by a database may be stored in a log file. The information in the log file may be converted into a stream of records describing the changes. The records may be directed to a computing node selected for performing a trigger function in response to the change, based on applying a hash function to a portion of the record, identifying a hash space associated with a value output by the hash function, and mapping from the hash space to the selected computing node.
    Type: Application
    Filed: September 28, 2015
    Publication date: March 30, 2017
    Inventors: Parikshit Shivajirao Pol, Subramanian Sankara Subramanian, Rajaprabhu Thiruchi Loganathan, Rama Krishna Sandeep Pokkunuri, Gopinath Duddi, Akshat Vig, Safeer Mohiuddin, Sudarshan Narasimhan