Patents by Inventor Sai CHAITANYA
Sai CHAITANYA 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: 20240386883Abstract: In some aspects, the techniques described herein relate to a method including: tokenizing a text string into utterance tokens; vectorizing the utterance tokens; providing the utterance tokens to a machine learning model as input to the machine learning model; receiving, as output from the machine learning model, a predicted intent; formatting a query of a content repository, wherein the query includes the predicted intent; receiving, based on the query, an artifact from the content repository; and displaying the artifact via an interface.Type: ApplicationFiled: May 16, 2023Publication date: November 21, 2024Inventors: Sai Chaitanya DARLA, Owen CHURCHILL, Vlad TYSHKEVICH, Oluwaseye ADEKANYE, Jose BURGOS, Siva TANUKU, Rudolph L. MAPPUS, IV
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Publication number: 20240184977Abstract: Systems and methods to maintain amends to an annotation as discrete chronological events are disclosed. Exemplary implementations may: obtain a selection of a first annotation template for a first annotation via a client computing platform; generate a root node based on the selection of the first annotation template; obtain a first command to update to the first annotation; append a first update node to the root node responsive to the first command; obtain a second command to update to the first annotation; append a second update node to the first node responsive to the second command; receive an indication to present the first annotation; generate, responsive to the indication, the first annotation by populating the first annotation template included in the root node based on the first node set and in sequential order indicated by the edges; and effectuate presentation of the first annotation.Type: ApplicationFiled: July 11, 2023Publication date: June 6, 2024Inventors: Badarinarayan Parthasarathi Burli, Harish Chandra Thuwal, Sai Chaitanya Ramineni
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Patent number: 12001780Abstract: Systems and methods to maintain amends to an annotation as discrete chronological events are disclosed. Exemplary implementations may: obtain a selection of a first annotation template for a first annotation via a client computing platform; generate a root node based on the selection of the first annotation template; obtain a first command to update to the first annotation; append a first update node to the root node responsive to the first command; obtain a second command to update to the first annotation; append a second update node to the first node responsive to the second command; receive an indication to present the first annotation; generate, responsive to the indication, the first annotation by populating the first annotation template included in the root node based on the first node set and in sequential order indicated by the edges; and effectuate presentation of the first annotation.Type: GrantFiled: July 11, 2023Date of Patent: June 4, 2024Assignee: Suki AI, Inc.Inventors: Badarinarayan Parthasarathi Burli, Harish Chandra Thuwal, Sai Chaitanya Ramineni
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Patent number: 11966363Abstract: Disclosed is a new identifier allocation approach for allocating repository object identifiers beyond a maximum number usually allowed for a single repository. The new identifier allocation approach includes an enhanced identifier structure in which a portion usually reserved for a docbase identifier is modified to combine with a partition identifier. The actual docbase identifier is stored in a server configuration file. When the maximum number of object identifiers has been allocated, a new partition is created and a sequence table is updated with a new entry that reflects the new partition. A new repository object identifier is allocated using the docbase identifier combined with the new partition identifier. In this way, more than 4 billion objects per object type can be addressed uniquely within a docbase by creating new partitions. This new approach is very unique and flexible in accommodating both on premises and multi-tenant environments.Type: GrantFiled: November 29, 2021Date of Patent: April 23, 2024Assignee: OPEN TEXT HOLDINGS, INC.Inventors: Pulla Rayudu Garaga, Satya Sai Chaitanya Patchigolla
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Publication number: 20240086734Abstract: Systems and methods are provided for a dynamic and iterative process for determining a weighted decision using a combination of weighted output from multiple, trained machine learning (ML) models. Key data can be identified and efficient decision-based processing can be achieved. In some examples, the system calculates a weighted decision of a repair or total loss determination for a motor vehicle, yet any industry or data set may be implemented with the use of the dynamic and iterative decision process.Type: ApplicationFiled: September 5, 2023Publication date: March 14, 2024Applicant: Mitchell International, Inc.Inventors: Mohnish Singh, Abhijeet Gulati, Sai Chaitanya Kanumalli
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Patent number: 11734502Abstract: Systems and methods to maintain amends to an annotation as discrete chronological events are disclosed. Exemplary implementations may: obtain a selection of a first annotation template for a first annotation via a client computing platform; generate a root node based on the selection of the first annotation template; obtain a first command to update to the first annotation; append a first update node to the root node responsive to the first command; obtain a second command to update to the first annotation; append a second update node to the first node responsive to the second command; receive an indication to present the first annotation; generate, responsive to the indication, the first annotation by populating the first annotation template included in the root node based on the first node set and in sequential order indicated by the edges; and effectuate presentation of the first annotation.Type: GrantFiled: December 1, 2022Date of Patent: August 22, 2023Assignee: Suki AI, Inc.Inventors: Badarinarayan Parthasarathi Burli, Harish Chandra Thuwal, Sai Chaitanya Ramineni
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Publication number: 20220083506Abstract: Disclosed is a new identifier allocation approach for allocating repository object identifiers beyond a maximum number usually allowed for a single repository. The new identifier allocation approach includes an enhanced identifier structure in which a portion usually reserved for a docbase identifier is modified to combine with a partition identifier. The actual docbase identifier is stored in a server configuration file. When the maximum number of object identifiers has been allocated, a new partition is created and a sequence table is updated with a new entry that reflects the new partition. A new repository object identifier is allocated using the docbase identifier combined with the new partition identifier. In this way, more than 4 billion objects per object type can be addressed uniquely within a docbase by creating new partitions. This new approach is very unique and flexible in accommodating both on premises and multi-tenant environments.Type: ApplicationFiled: November 29, 2021Publication date: March 17, 2022Inventors: Pulla Rayudu Garaga, Satya Sai Chaitanya Patchigolla
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Patent number: 11216417Abstract: Disclosed is a new identifier allocation approach for allocating repository object identifiers beyond a maximum number usually allowed for a single repository. The new identifier allocation approach includes an enhanced identifier structure in which a portion usually reserved for a docbase identifier is modified to combine with a partition identifier. The actual docbase identifier is stored in a server configuration file. When the maximum number of object identifiers has been allocated, a new partition is created and a sequence table is updated with a new entry that reflects the new partition. A new repository object identifier is allocated using the docbase identifier combined with the new partition identifier. In this way, more than 4 billion objects per object type can be addressed uniquely within a docbase by creating new partitions. This new approach is very unique and flexible in accommodating both on premises and multi-tenant environments.Type: GrantFiled: December 9, 2019Date of Patent: January 4, 2022Assignee: OPEN TEXT HOLDINGS, INC.Inventors: Pulla Rayudu Garaga, Satya Sai Chaitanya Patchigolla
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Publication number: 20210173812Abstract: Disclosed is a new identifier allocation approach for allocating repository object identifiers beyond a maximum number usually allowed for a single repository. The new identifier allocation approach includes an enhanced identifier structure in which a portion usually reserved for a docbase identifier is modified to combine with a partition identifier. The actual docbase identifier is stored in a server configuration file. When the maximum number of object identifiers has been allocated, a new partition is created and a sequence table is updated with a new entry that reflects the new partition. A new repository object identifier is allocated using the docbase identifier combined with the new partition identifier. In this way, more than 4 billion objects per object type can be addressed uniquely within a docbase by creating new partitions. This new approach is very unique and flexible in accommodating both on premises and multi-tenant environments.Type: ApplicationFiled: December 9, 2019Publication date: June 10, 2021Inventors: Rayudu Pulla Garaga, Satya Sai Chaitanya Patchigolla
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Patent number: 11023101Abstract: An embodiment of the present invention is directed to reducing complexities in machine learning application development by providing a drag-and-drop user interface for an entire machine learning process. The innovative system significantly reduces development time and efforts. An embodiment of the present invention is directed to applying optimized common components that follow industry wide best practices thereby improving the time to market as well as the overall code quality. The embodiments of the present invention provide adaptability and extendibility to support various platforms. According to an embodiment of the present invention, a generic platform agnostic code generator may be extended to support various use cases, applications, platforms and environments.Type: GrantFiled: August 7, 2019Date of Patent: June 1, 2021Assignee: JPMorgan Chase Bank, N.A.Inventors: Venkata Rajam Raju Chiluvuri, Swarna Bhagath Irukulla, Sai Chaitanya Chitneedi, Anil Kumar Gannamani
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Publication number: 20210041991Abstract: An embodiment of the present invention is directed to reducing complexities in machine learning application development by providing a drag-and-drop user interface for an entire machine learning process. The innovative system significantly reduces development time and efforts. An embodiment of the present invention is directed to applying optimized common components that follow industry wide best practices thereby improving the time to market as well as the overall code quality. The embodiments of the present invention provide adaptability and extendibility to support various platforms. According to an embodiment of the present invention, a generic platform agnostic code generator may be extended to support various use cases, applications, platforms and environments.Type: ApplicationFiled: August 7, 2019Publication date: February 11, 2021Inventors: Vankata Rajam Raju CHILUVURI, Swarna Bhagath IRUKULLA, Sai Chaitanya CHITNEEDI, Anil Kumar GANNAMANI
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Patent number: 10432466Abstract: Certain embodiments of the present disclosure include a method for translating an application-level abstraction to a logical network topology. The method includes receiving an event request from a container orchestrator at an orchestrator adaptor. The method also includes translating the event request to a logical network resource via an application programming interface associated with a network virtualization platform. The method includes mapping the event request to the logical network resource. The method also includes deploying the logical network resource in a logical network via the network virtualization platform.Type: GrantFiled: June 22, 2017Date of Patent: October 1, 2019Assignee: Nicira, Inc.Inventors: Akash Gangil, Jianjun Shen, Donghai Han, Salvatore Orlando, Sai Chaitanya, Yves Fauser, Gary Kotton
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Publication number: 20180375728Abstract: Certain embodiments of the present disclosure include a method for translating an application-level abstraction to a logical network topology. The method includes receiving an event request from a container orchestrator at an orchestrator adaptor. The method also includes translating the event request to a logical network resource via an application programming interface associated with a network virtualization platform. The method includes mapping the event request to the logical network resource. The method also includes deploying the logical network resource in a logical network via the network virtualization platform.Type: ApplicationFiled: June 22, 2017Publication date: December 27, 2018Inventors: Akash GANGIL, Jianjun SHEN, Donghai HAN, Salvatore ORLANDO, Sai CHAITANYA, Yves FAUSER, Gary KOTTON