Patents by Inventor Ajmal Karuthakantakath
Ajmal Karuthakantakath 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: 20230359986Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: ApplicationFiled: May 12, 2023Publication date: November 9, 2023Applicant: Capital One Services, LLCInventors: Chandra DHANDAPANI, Raman BAJAJ, Gurmeet SINGH, Ajmal KARUTHAKANTAKATH, Frederick CRABLE, Nicholas DOLLE, Vikramaditya REPAKA, Sanjiv YAJNIK
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Patent number: 11709763Abstract: Systems and methods are disclosed herein for improving data migration operations including testing and setup of computing environments. In one example, the method may include receiving data for one or more application programming interfaces (APIs). The method may further include generating one or more tests to test the one or more APIs in a first computing environment, testing the APIs, storing the results in a database, and performing a change data capture operation. The method may further include augmenting the one or more tests with the CDC data to generate an updated test. The method may further include testing, using the updated test, a second set of the one or more APIs and comparing the test results. The method may also include outputting a confidence score indicating a correlation between the first environment and the second environment.Type: GrantFiled: November 22, 2021Date of Patent: July 25, 2023Assignee: Capital One Services, LLCInventors: Raghuram Madiraju, Palak Mathur, Maz Jawed Baig, Devi Kiran Gonuguntla, Ajmal Karuthakantakath
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Patent number: 11694156Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: GrantFiled: December 28, 2020Date of Patent: July 4, 2023Assignee: Capital One Services, LLCInventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fredrick Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Publication number: 20220129370Abstract: Systems and methods are disclosed herein for improving data migration operations including testing and setup of computing environments. In one example, the method may include receiving data for one or more application programming interfaces (APIs). The method may further include generating one or more tests to test the one or more APIs in a first computing environment, testing the APIs, storing the results in a database, and performing a change data capture operation. The method may further include augmenting the one or more tests with the CDC data to generate an updated test. The method may further include testing, using the updated test, a second set of the one or more APIs and comparing the test results. The method may also include outputting a confidence score indicating a correlation between the first environment and the second environment.Type: ApplicationFiled: November 22, 2021Publication date: April 28, 2022Applicant: Capital One Services, LLCInventors: Raghuram MADIRAJU, Palak MATHUR, Maz Jawed BAIG, Devi Kiran GONUGUNTLA, Ajmal KARUTHAKANTAKATH
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Patent number: 11182275Abstract: Systems and methods are disclosed herein for improving data migration operations including testing and setup of computing environments. In one example, the method may include receiving data for one or more application programming interfaces (APIs). The method may further include generating one or more tests to test the one or more APIs in a first computing environment, testing the APIs, storing the results in a database, and performing a change data capture operation. The method may further include augmenting the one or more tests with the CDC data to generate an updated test. The method may further include testing, using the updated test, a second set of the one or more APIs and comparing the test results. The method may also include outputting a confidence score indicating a correlation between the first environment and the second environment.Type: GrantFiled: October 23, 2020Date of Patent: November 23, 2021Assignee: Capital One Services, LLCInventors: Raghuram Madiraju, Palak Mathur, Maz Jawed Baig, Devi Kiran Gonuguntla, Ajmal Karuthakantakath
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Publication number: 20210192437Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: ApplicationFiled: December 28, 2020Publication date: June 24, 2021Applicant: Capital One Services, LLCInventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fredrick Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Patent number: 10878375Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: GrantFiled: November 15, 2018Date of Patent: December 29, 2020Assignee: CAPITAL ONE SERVICES, LLCInventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fredrick Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Patent number: 10719374Abstract: Aspects described herein may allow for the application of dynamically generating APIs using API generator based on database metadata. An API generator may extract metadata associated with store procedures. The API generator may generate a first layer of API that communicates with an enterprise application via a first data format. The API generator may generate a second layer of the API that communicates with a database via a second data format. The API generator may receive a request to invoke a stored procedure in a first data format. In response to receiving the request, the generated API may generate a converted request in the second data format.Type: GrantFiled: September 17, 2019Date of Patent: July 21, 2020Assignee: Capital One Services, LLCInventors: Palak Mathur, Jacques Morel, Trent Jones, Jordan Donais, Maz Baig, Ajmal Karuthakantakath, Devi Kiran Gonuguntla, Raghuram Madiraju, Suresh Navayamkunnil Raghavan
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Publication number: 20190087773Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: ApplicationFiled: November 15, 2018Publication date: March 21, 2019Applicant: Capital One Services, LLCInventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fredrick Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Patent number: 10163072Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: GrantFiled: April 17, 2018Date of Patent: December 25, 2018Assignee: CAPITAL ONE SERVICES, LLCInventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fredrick Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Publication number: 20180232691Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: ApplicationFiled: April 17, 2018Publication date: August 16, 2018Inventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fredrick Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Patent number: 9978038Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: GrantFiled: September 19, 2017Date of Patent: May 22, 2018Assignee: Capital One Services, LLCInventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fredrick Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Patent number: 9965741Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: GrantFiled: December 16, 2016Date of Patent: May 8, 2018Assignee: Capital One Services, LLCInventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fred Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Publication number: 20180005179Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: ApplicationFiled: September 19, 2017Publication date: January 4, 2018Inventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fred Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik
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Publication number: 20170178063Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.Type: ApplicationFiled: December 16, 2016Publication date: June 22, 2017Inventors: Chandra Dhandapani, Raman Bajaj, Gurmeet Singh, Ajmal Karuthakantakath, Fred Crable, Nicholas Dolle, Vikramaditya Repaka, Sanjiv Yajnik