Shubham Agrawal

US Patent:

20210312456, Oct 7, 2021

Filed:

Mar 31, 2021

Appl. No.:

17/218811

Inventors:

- San Francisco CA, US
Shubham Agrawal - Round Rock TX, US
Chiranjeet Chetia - Round Rock TX, US
Claudia Carolina Barcenas Cardenas - Austin TX, US
David Stoddard Lambertson - Seattle WA, US

International Classification:

G06Q 20/40
G06N 3/02

Abstract:

Described are a system, method, and computer program product for merchant breach detection using convolutional neural networks. The method includes receiving transaction data associated with a plurality of transactions by a plurality of payment devices in a first time period subsequent to the plurality of payment devices transacting with a merchant. The method also includes identifying, based on inputting at least one parameter of the transaction data into a fraud evaluation model, a set of suspected fraudulent transactions of the plurality of transactions. The method further includes generating an image comprising a field of points, wherein each point of the field of points is associated with at least one transaction. The method further includes detecting breach of the merchant by processing the image with a convolutional neural network (CNN) model.

US Patent:

20210027300, Jan 28, 2021

Filed:

Jul 26, 2019

Appl. No.:

16/522907

Inventors:

- San Francisco CA, US
Shubham Agrawal - Round Rock TX, US
Claudia Carolina Barcenas Cardenas - Austin TX, US

International Classification:

G06Q 20/40
G06Q 30/02
G06N 20/00
G06N 5/04

Abstract:

Provided is a system that includes at least one processor programmed or configured to: determine an average payment transaction vector based on a first payment transaction vector associated with a first payment transaction involving an account and a second payment transaction vector associated with a second payment transaction involving the account; determine an account embedding vector associated with the account based on the first payment transaction vector associated with the first payment transaction and the second payment transaction vector associated with the second payment transaction; determine a predicted transaction aggregate vector associated with the account based on the account embedding vector and a plurality of embedding payment transaction vectors associated with a plurality of payment transactions; and store the predicted transaction aggregate vector in a data structure based on an account identifier of the account. A computer-implemented method and computer program product are also provided.

US Patent:

20200356970, Nov 12, 2020

Filed:

May 8, 2019

Appl. No.:

16/406409

Inventors:

- San Francisco CA, US
Hangqi Zhao - Austin TX, US
Shizhe Ma - Austin TX, US
Chiranjeet Chetia - Round Rock TX, US
Shubham Agrawal - Round Rock TX, US

International Classification:

G06Q 20/14
G06Q 20/32
G06K 9/00
G06K 9/46
G06T 7/70
G06K 9/20

Abstract:

Provided herein is a computer-implemented method for settling an outstanding invoice issued by a payee, including the steps of capturing a digital image of an invoice issued by a payee to a payor, processing the digital image to identify invoice data and a network location associated with the payee, automatically establishing communication with the network location identified in the digital image, and automatically inputting payment information into one or more fields of the webpage at the network location.