Intuit, Inc.

Varadarajan Sriram

Carol Ann Howe

Robert E Bamford

Karla Julietta Uribe

Brian Joon Chung

Ashpak Salim Shaikh

Michael Albert Miljour

Vitaliy Igorevich Lee

Caitlin Elizabeth Flint

Joshua David Ackerman

Harsimran S Badwal

Massimo Mascaro

Yao H Morin

Matthew L Sivertson

Sheldon Porcina

Horace Chan

Greg Coulombe

Nathan George Wiger

Sharon E Hunt

Alexis Hartford

Brian Lyle Hofmaister

Andrew Roe

Sylvia R Knust

Thai D Dang

Kasey L Matthews

Samuel Songhea Ko

Bhavin Navin Shah

Houssam Fathallah

Jeremy Alan Jessup

Matthew Ryan Richardson

Anant Saxena

A method may include receiving a first definition of an object type from a first software component and a second definition of the object type from a second software component. The object type may be labeled by an ID. The method may further include storing, in a dynamic graph, a node labeled by the ID, and storing, in a type definition repository external to the dynamic graph, the first definition of the object type and the second definition of the object type. The method may further include receiving, from the first software component, a modified first definition of the object type. The method may further include replacing, in the type definition repository and using the ID, the first definition of the object type with the modified first definition, and transmitting, to the second software component, a message indicating a need to lookup, by the ID, the modified first definition.

Distributed extensible dynamic graph

An integrated development environment (IDE) system that may provide runtime validation, and incremental compilation and linking of multiple schema resources for a query language such as e.g., GraphQL. The runtime validation may be performed during the incremental compilation and linking process. If errors in the source code are detected during the runtime validation process, the compilation and linking process may be stopped without generating runtime objects.

Integrated development environment for developing and compiling query language schemas for application program interfaces

A network-based synchronization system includes a server executing an electronic tax preparation program. The server is in communication with first and second computing devices through first and second networks. The first computing device utilizes the electronic tax preparation program. The second computing device is a mobile communication device including an image acquisition component and a mobile application executing thereon. The server, and the first and second computing devices are cooperatively operable through the first and second networks to synchronize the electronic tax preparation program and the mobile application based at least in part upon data acquired by the image acquisition component. The server receives the data acquired by the image acquisition component and transmits the data to the first computing device to synchronize the mobile application and the electronic tax preparation program.

Network-based synchronization system and method

Computing systems, computer-implemented methods, articles of manufacture for making personalized assessments regarding whether a taxpayer should be presented with a standardized flow of interview screens, questions or topics, or with an itemized deduction flow of interview screens, questions or topics. This assessment is made utilizing a generated user interface and analytic data elements that generate outputs that reflect the taxpayer's data, e.g., in the form of ranges of numerical data that are based on the taxpayer's data. User interface elements representing response options in the form of range data may be selected by the user without entering specific electronic tax return data for the purpose of making standardized v. itemized determinations and to determine which questions or topics can be bypassed.

Computer generated user interfaces, computerized systems and methods and articles of manufacture for personalizing standardized deduction or itemized deduction flow determinations

A method and system provides augmented OCR data to a user of a financial system. The method and system include receiving image data related to an image of a financial document of the user and generating OCR data based on the image data. The method and system further include receiving financial data related to the financial document, analyzing the financial document, and generating the augmented OCR data based on the OCR data and the financial data.

Data accuracy in OCR by leveraging user data and business rules to improve data accuracy at field level

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Escondido, CA, United States of America

Varadarajan Sriram