Patents by Inventor Rahul Bhaskar
Rahul Bhaskar 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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Patent number: 11978039Abstract: The innovation discloses systems, methods and computer program products that reduce complexity and associated measures that are taken to ensure trust in secured transactions as necessitated by requirements present only in an ecommerce environment that do not have a parallel with traditional bricks and mortar commercial transactions. The innovation enables a multitude of mobile wallet applications to engage and obtain services from ecommerce applications wherein backend processing by a mobile wallet server obtains and delivers funds to ecommerce applications without sharing a subset of sensitive data, associated with a mobile wallet application user for the secured transactions. The innovation further provides for a wallet network to be initiated and engaged in which the secured transactions can take place, adopting and adapting social network application connectivity.Type: GrantFiled: June 8, 2023Date of Patent: May 7, 2024Assignee: Wells Fargo Bank, N.A.Inventors: Sudheendranath R. Bhatt, Ramanathan Ramanathan, Sai Krishna Madhavi Chitta, Rahul N. Jain, Pradeep R. Kumar, Rameshchandra Bhaskar Ketharaju, Mushnuri Veera Venkata Kiran Kumar
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Patent number: 11776248Abstract: Systems and methods are configured for correcting the orientation of an image data object subject to optical character recognition (OCR) by receiving an original image data object, generating initial machine readable text for the original image data object via OCR, generating an initial quality score for the initial machine readable text via machine-learning models, determining whether the initial quality score satisfies quality criteria, upon determining that the initial quality score does not satisfy the quality criteria, generating a plurality of rotated image data objects each comprising the original image data object rotated to a different rotational position, generating a rotated machine readable text data object for each of the plurality of rotated image data objects and generating a rotated quality score for each of the plurality of rotated machine readable text data objects, and determining that one of the plurality of rotated quality scores satisfies the quality criteria.Type: GrantFiled: October 17, 2022Date of Patent: October 3, 2023Assignee: Optum, Inc.Inventors: Rahul Bhaskar, Daryl Seiichi Furuyama, Daniel William James
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Publication number: 20230135212Abstract: Systems and methods are configured for correcting the orientation of an image data object subject to optical character recognition (OCR) by receiving an original image data object, generating initial machine readable text for the original image data object via OCR, generating an initial quality score for the initial machine readable text via machine-learning models, determining whether the initial quality score satisfies quality criteria, upon determining that the initial quality score does not satisfy the quality criteria, generating a plurality of rotated image data objects each comprising the original image data object rotated to a different rotational position, generating a rotated machine readable text data object for each of the plurality of rotated image data objects and generating a rotated quality score for each of the plurality of rotated machine readable text data objects, and determining that one of the plurality of rotated quality scores satisfies the quality criteria.Type: ApplicationFiled: October 17, 2022Publication date: May 4, 2023Inventors: Rahul BHASKAR, Daryl Seiichi FURUYAMA, Daniel William JAMES
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Patent number: 11495014Abstract: Systems and methods are configured for correcting the orientation of an image data object subject to optical character recognition (OCR) by receiving an original image data object, generating initial machine readable text for the original image data object via OCR, generating an initial quality score for the initial machine readable text via machine-learning models, determining whether the initial quality score satisfies quality criteria, upon determining that the initial quality score does not satisfy the quality criteria, generating a plurality of rotated image data objects each comprising the original image data object rotated to a different rotational position, generating a rotated machine readable text data object for each of the plurality of rotated image data objects and generating a rotated quality score for each of the plurality of rotated machine readable text data objects, and determining that one of the plurality of rotated quality scores satisfies the quality criteria.Type: GrantFiled: July 22, 2020Date of Patent: November 8, 2022Assignee: Optum, Inc.Inventors: Rahul Bhaskar, Daryl Seiichi Furuyama, Daniel William James
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Publication number: 20220027652Abstract: Systems and methods are configured for correcting the orientation of an image data object subject to optical character recognition (OCR) by receiving an original image data object, generating initial machine readable text for the original image data object via OCR, generating an initial quality score for the initial machine readable text via machine-learning models, determining whether the initial quality score satisfies quality criteria, upon determining that the initial quality score does not satisfy the quality criteria, generating a plurality of rotated image data objects each comprising the original image data object rotated to a different rotational position, generating a rotated machine readable text data object for each of the plurality of rotated image data objects and generating a rotated quality score for each of the plurality of rotated machine readable text data objects, and determining that one of the plurality of rotated quality scores satisfies the quality criteria.Type: ApplicationFiled: July 22, 2020Publication date: January 27, 2022Inventors: Rahul Bhaskar, Daryl Seiichi Furuyama, Daniel William James
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Publication number: 20220019914Abstract: There is a need for more effective and efficient predictive anomaly detection. This need can be addressed by, for example, solutions for performing anomaly detection using an anomaly detection machine learning model. In one example, a method includes: identifying a plurality of event records; for each event record of the plurality of event records, determining a temporally-related event code data object based at least in part on a temporally-related subset of the one or more event codes that is associated with the event record; generating one or more event record profiles based on each temporally-related event code data object; processing the one or more event record profiles using an anomaly detection machine learning model to generate one or more anomaly detection predictions; and performing one or more prediction-based actions based at least in part on the one or more anomaly detections.Type: ApplicationFiled: July 17, 2020Publication date: January 20, 2022Inventors: Daniel William James, Rahul Bhaskar, Daryl Seiichi Furuyama
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Patent number: D958077Type: GrantFiled: September 30, 2020Date of Patent: July 19, 2022Assignee: Molex, LLCInventors: Ravikanth Desai, Rahul Bhaskar, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar
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Patent number: D958078Type: GrantFiled: September 30, 2020Date of Patent: July 19, 2022Assignee: Molex, LLCInventors: Ravikanth Desai, Rahul Bhaskar, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar
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Patent number: D958748Type: GrantFiled: September 30, 2020Date of Patent: July 26, 2022Assignee: Molex, LLCInventors: Ravikanth Desai, Rahul Bhaskar, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar
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Patent number: D958749Type: GrantFiled: September 30, 2020Date of Patent: July 26, 2022Assignee: Molex, LLCInventors: Ravikanth Desai, Rahul Bhaskar, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar
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Patent number: D958750Type: GrantFiled: September 30, 2020Date of Patent: July 26, 2022Assignee: Molex, LLCInventors: Ravikanth Desai, Rahul Bhaskar, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar
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Patent number: D984966Type: GrantFiled: May 11, 2021Date of Patent: May 2, 2023Assignee: Molex, LLCInventors: Ravikanth Desai, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar, Rahul Bhaskar, Gang Nie
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Patent number: D985499Type: GrantFiled: May 11, 2021Date of Patent: May 9, 2023Assignee: Molex, LLCInventors: Ravikanth Desai, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar, Rahul Bhaskar, Gang Nie
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Patent number: D993924Type: GrantFiled: May 11, 2021Date of Patent: August 1, 2023Assignee: Molex, LLCInventors: Ravikanth Desai, Narayan Mithun, Kalidindi Ramesh Raju, Debashis Sarkar, Rahul Bhaskar, Gang Nie