Patents by Inventor Aditya Relangi
Aditya Relangi 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).
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Publication number: 20220121652Abstract: Methods and systems described herein may include processing a change data capture stream in parallel and optimizing the write operations contained in the change data capture stream such that the write operations may be written to a change table in parallel. Processing the change data capture stream may include decoding the transaction data contained in the change data capture stream in parallel. After the transaction data in the change data capture stream has been decoded, the transaction data may be analyzed to identify write operations that write to the same row. Write operations that write to the same row may be merged into a single write operation. The merging of write operations may be performed until each write operation writes to a different row. The write operations may then be written to the change table in parallel.Type: ApplicationFiled: December 28, 2021Publication date: April 21, 2022Inventors: Behdad Forghani, Aniketh Bothra, Abhijit Chitnis, Aditya Relangi
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Patent number: 11243942Abstract: Methods and systems described herein may include processing a change data capture stream in parallel and optimizing the write operations contained in the change data capture stream such that the write operations may be written to a change table in parallel. Processing the change data capture stream may include decoding the transaction data contained in the change data capture stream in parallel. After the transaction data in the change data capture stream has been decoded, the transaction data may be analyzed to identify write operations that write to the same row. Write operations that write to the same row may be merged into a single write operation. The merging of write operations may be performed until each write operation writes to a different row. The write operations may then be written to the change table in parallel.Type: GrantFiled: February 5, 2020Date of Patent: February 8, 2022Assignee: Capital One Services, LLCInventors: Behdad Forghani, Aniketh Bothra, Abhijit Chitnis, Aditya Relangi
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Patent number: 11238228Abstract: Examples of the present disclosure can comprise systems and methods for creating and modifying named entity recognition models. The system can use two or more existing named entity recognition models to output responses to natural language queries for which the models have not yet been trained. When the output from the two or more models match, the query and the resulting output can be stored as training data for a new named entity recognition model. If the output from the two or models do not match, the query and the outputs can be stored in an exceptions file for additional review. In some embodiments, the system can comprise one or more processors and a display for providing a user interface (UI).Type: GrantFiled: February 18, 2020Date of Patent: February 1, 2022Assignee: CAPITAL ONE SERVICES, LLCInventors: Aditya Relangi, Michael Langford
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Publication number: 20210133658Abstract: A device may receive, from a user device, a request for a recommendation identifying one or more tasks to be performed, of a set of tasks that are part of a job for an organization and associated with managing a set of applications for a product or a service. The device may generate the recommendation by using a data model that has been trained using one or more machine learning techniques to process data identifying a set of application status metrics based on application status data for the set of applications, and events data identifying real-time events associated with the group of sites. The device may provide the recommendation for display on an interface of the user device. The device may perform one or more actions associated with assisting in performance of at least one of the one or more tasks.Type: ApplicationFiled: January 11, 2021Publication date: May 6, 2021Inventor: Aditya RELANGI
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Publication number: 20210049153Abstract: Methods and systems described herein may include processing a change data capture stream in parallel and optimizing the write operations contained in the change data capture stream such that the write operations may be written to a change table in parallel. Processing the change data capture stream may include decoding the transaction data contained in the change data capture stream in parallel. After the transaction data in the change data capture stream has been decoded, the transaction data may be analyzed to identify write operations that write to the same row. Write operations that write to the same row may be merged into a single write operation. The merging of write operations may be performed until each write operation writes to a different row. The write operations may then be written to the change table in parallel.Type: ApplicationFiled: February 5, 2020Publication date: February 18, 2021Inventors: Behdad Forghani, Aniketh Bothra, Abhijit Chitnis, Aditya Relangi
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Patent number: 10891571Abstract: A device may receive, from a user device, a request for a recommendation identifying one or more tasks to be performed, of a set of tasks that are part of a job for an organization and associated with managing a set of applications for a product or a service. The device may generate the recommendation by using a data model that has been trained using one or more machine learning techniques to process data identifying a set of application status metrics based on application status data for the set of applications, and events data identifying real-time events associated with the group of sites. The device may provide the recommendation for display on an interface of the user device. The device may perform one or more actions associated with assisting in performance of at least one of the one or more tasks.Type: GrantFiled: August 23, 2018Date of Patent: January 12, 2021Assignee: Capital One Services, LLCInventor: Aditya Relangi
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Publication number: 20200372219Abstract: Examples of the present disclosure can comprise systems and methods for creating and modifying named entity recognition models. The system can use two or more existing named entity recognition models to output responses to natural language queries for which the models have not yet been trained. When the output from the two or more models match, the query and the resulting output can be stored as training data for a new named entity recognition model. If the output from the two or models do not match, the query and the outputs can be stored in an exceptions file for additional review. In some embodiments, the system can comprise one or more processors and a display for providing a user interface (UI).Type: ApplicationFiled: February 18, 2020Publication date: November 26, 2020Inventors: Aditya Relangi, Michael Langford
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Patent number: 10635751Abstract: Examples of the present disclosure can comprise systems and methods for creating and modifying named entity recognition models. The system can use two or more existing named entity recognition models to output responses to natural language queries for which the models have not yet been trained. When the output from the two or more models match, the query and the resulting output can be stored as training data for a new named entity recognition model. If the output from the two or models do not match, the query and the outputs can be stored in an exceptions file for additional review. In some embodiments, the system can comprise one or more processors and a display for providing a user interface (UI).Type: GrantFiled: May 23, 2019Date of Patent: April 28, 2020Assignee: CAPITAL ONE SERVICES, LLCInventors: Aditya Relangi, Michael Langford
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Patent number: 10599639Abstract: Methods and systems described herein may include processing a change data capture stream in parallel and optimizing the write operations contained in the change data capture stream such that the write operations may be written to a change table in parallel. Processing the change data capture stream may include decoding the transaction data contained in the change data capture stream in parallel. After the transaction data in the change data capture stream has been decoded, the transaction data may be analyzed to identify write operations that write to the same row. Write operations that write to the same row may be merged into a single write operation. The merging of write operations may be performed until each write operation writes to a different row. The write operations may then be written to the change table in parallel.Type: GrantFiled: August 16, 2019Date of Patent: March 24, 2020Assignee: Capital One Services, LLCInventors: Behdad Forghani, Aniketh Bothra, Abhijit Chitnis, Aditya Relangi
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Publication number: 20200065736Abstract: A device may receive, from a user device, a request for a recommendation identifying one or more tasks to be performed, of a set of tasks that are part of a job for an organization and associated with managing a set of applications for a product or a service. The device may generate the recommendation by using a data model that has been trained using one or more machine learning techniques to process data identifying a set of application status metrics based on application status data for the set of applications, and events data identifying real-time events associated with the group of sites. The device may provide the recommendation for display on an interface of the user device. The device may perform one or more actions associated with assisting in performance of at least one of the one or more tasks.Type: ApplicationFiled: August 23, 2018Publication date: February 27, 2020Inventor: Aditya RELANGI
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Publication number: 20190222540Abstract: A method for providing interactive data in real time via an automated assistant within a chat user interface includes displaying a chat user interface including an input field for receiving text and a display window for displaying user messages and interactive real-time data. The method includes receiving text representing a request for interactive real-time data, processing the text using natural language processing techniques and generating request data. The method includes establishing a communication link to a storage device that stores the first interactive real-time data based on the request data. The method further includes receiving the interactive real-time data from the storage device, displaying the first interactive real-time data in the display window, and updating the first interactive real-time data displayed in the display window based on an update to the first interactive real-time data made at the storage device.Type: ApplicationFiled: January 16, 2018Publication date: July 18, 2019Inventors: Aditya Relangi, Abhijit Chitnis