Capital One Services, LLC

Arjun Dugal

Raman Bajaj

Micah Price

Qiaochu Tang

Geoffrey Wayne Dagley

Jason Richard Hoover

Stephen Michael Wylie

Sunil Subrahmanyam Vasisht

Sanjiv Yajnik

Gopi Kancharla

Parvesh Kumar

Praveen Tandra

Janardhan Deepak Prabhakara

Steven G Chiagouris

Sean Reddy

Jason E Lines

James Land

Komal Krishna Pandamaneti

Lavanya Raja

Sairam Kommireddy

Hanzhang Zheng

Maria Rabinowitz

Sriram Srinivasan

Haranatha Ijjurouthu

Brittany Nicole Geron Courtney

Steven W Braskamp

Systems and methods for transforming data for a batch-based legacy software program into data suitable for processing by a streaming-based new software program. In some aspects, the system generates an information stream for multiple threads from batch information received from the legacy software program. The system processes the information stream for the multiple threads using the new software program. If there is a mismatch between outputs of the legacy and new software programs for at least one thread, the system adjusts a data model of the new software program to address the mismatch and generates an updated information stream for processing by the new software program.

Systems and methods for data transformation

A campaign server is disclosed which includes a multi-level queue architecture that isolates campaign processing from the delays and inconsistencies of target population information retrieval and a data streaming service system with latency and error remediation measures are disclosed, where the campaign server and the data consumption system can be part of a consolidated system. The data consumption system may include various components to process one or more offers to one or more customers and component configured to detect an error associated the preparation of the errors and/or ii) initiate a retry attempt to process the one or more offers, and/or storing an instruction in a storage component of the streaming data system to permanently prohibit an attempt to generate the one or more offers at a subsequent time if the retry attempt expires without processing the one or more offers.

System and method for minimizing latency in data consumption system

Disclosed embodiments provide devices, methods, and computer-readable storage media for determining information of an object from a captured image. Further, the disclosed device responds to a user input by capturing, with the camera, image data representing an object. The device then transmits, via a messaging application through a network interface to a server, the image data and a request for information relating to the object. The object information is received via the messaging application through the network from the server and is displayed on the display screen.

Systems and methods for car shopping using messaging framework

Systems and methods for processing an image using machine learning are provided. The system includes a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device; extracting one or more features from the image; determining a make and a model of the vehicle based on the extracted features and using a machine learning algorithm. The operations also include: obtaining user information relating to a financing request for the vehicle; determining and transmitting to the client device a real-time quote for the vehicle based on the make, the model, and the user information.

Image analysis and identification using machine learning with output personalization

Systems and methods for processing an image using machine learning are provided. The system includes a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: determining a location of the client device; receiving an image of a vehicle from the client device; matching, using a machine learning algorithm, the image to one or more images of vehicles in a database. The operations also include: retrieving vehicle information based on the matched one or more images; obtaining user information relating to a financing request for the vehicle; determining and transmitting to the client device a real-time quote for the vehicle based on the vehicle information and user information.

Database image matching using machine learning with output personalization

A system for processing an image including a vehicle using machine learning can include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device; extracting one or more features from the image; based on the extracted features and using a machine learning algorithm, determining a make and a model of the vehicle; obtaining user information relating to a financing request for the vehicle; determining a real-time quote for the vehicle based on the make, the model, and the user information; and transmitting the real-time quote for display on the client device.

A system for processing an image including a vehicle using machine learning can include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: determining a location of the client device; receiving an image of a vehicle from the client device; matching, using a machine learning algorithm, the image to one or more images of vehicles in a database, the database listing vehicles located at the determined location and including images of the vehicles; retrieving vehicle information from the database based on the matched one or more images in the database; obtaining user information relating to a financing request for the vehicle; determining a real-time quote for the vehicle based on the vehicle information and user information; and transmitting the real-time quote for display on the client device.

Growing community of inventors

Dallas, TX, United States of America

Arjun Dugal