- Charlotte NC, US Manoj Shankar - Seattle WA, US Raghav Shenoy - Charlotte NC, US
International Classification:
G06Q 20/06 G06Q 20/32 G06Q 20/10
Abstract:
Systems, methods, apparatuses, and computer-readable media configured to generate a virtual payment device having a scannable code are presented. The scannable code may be a bar code, quick response code, or, in some examples, the virtual payment device may include both. In some arrangements, a user may provide one or more parameters associated with the virtual payment device, such as an amount, an expiration date, and/or a name of one or more merchants at which the virtual payment device may be used. The virtual payment device may be generated and the scannable code may include the parameter information. Accordingly, a user may scan the code on the virtual payment device at a point of sale system at a merchant to use the virtual payment device as a method of payment. If the virtual payment device is authenticated, the transaction may be processed by the point of sale system.
- Charlotte NC, US Xianhong Zhang - Issaquah WA, US Tao Huang - Bellevue WA, US Raghav Shenoy - Charlotte NC, US Palash K. Shil - Concord CA, US Andy Keys - Albany OR, US Vikram Jalota - Bellvue WA, US Arul Arasu Madavadiyan - Bainbridge Island WA, US
International Classification:
G06F 21/57 G06F 21/46
Abstract:
Methods and systems for evaluating customer security preferences are presented. In some embodiments, a computer system may receive, from a security dashboard computing platform, a request for a security score associated with a customer. In response to receiving the request for the security score associated with the customer, the computer system may request, from a customer portal computing platform, one or more security preferences associated with the customer. Subsequently, the computer system may receive, from the customer portal computing platform, the one or more security preferences associated with the customer. The computer system then may determine, based on at least one security score definition file and based on the one or more security preferences associated with the customer, a security score for the customer. Thereafter, the computer system may provide, to the security dashboard computing platform, the determined security score for the customer.
- Charlotte NC, US Xianhong Zhang - Issaquah WA, US Tao Huang - Bellevue WA, US Raghav Shenoy - Charlotte NC, US Palash K. Shil - Concord CA, US Andy Keys - Albany OR, US Vikram Jalota - Bellevue WA, US Arul Arasu Madavadiyan - Bainbridge Island WA, US
International Classification:
G06F 21/57 H04L 29/06 G06F 3/0484 G06F 21/46
Abstract:
Methods and systems for evaluating customer security preferences are presented. In some embodiments, a computer system may receive, from a customer portal computing platform, a request for a security dashboard user interface for a customer. In response to receiving the request for the security dashboard user interface, the computer system may request, from a security score computing platform, a security score for the customer. Subsequently, the computer system may receive, from the security score computing platform, the security score for the customer. The computer system then may generate, based on the security score for the customer, the security dashboard user interface for the customer. Thereafter, the computer system may provide, to the customer portal computing platform, the generated security dashboard user interface for the customer.
- Charlotte NC, US Xianhong Zhang - Issaquah WA, US Tao Huang - Bellevue WA, US Raghav Shenoy - Charlotte NC, US Palash K. Shil - Concord CA, US Andy Keys - Albany OR, US Vikram Jalota - Bellevue WA, US Arul Arasu Madavadiyan - Bainbridge Island WA, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
G06F 21/46 G06F 21/41 G06F 21/57
Abstract:
Methods and systems for evaluating customer security preferences are presented. In some embodiments, a computer system may receive, from a security dashboard computing platform, a request for a security score associated with a customer. In response to receiving the request for the security score associated with the customer, the computer system may request, from a customer portal computing platform, one or more security preferences associated with the customer. Subsequently, the computer system may receive, from the customer portal computing platform, the one or more security preferences associated with the customer. The computer system then may determine, based on at least one security score definition file and based on the one or more security preferences associated with the customer, a security score for the customer. Thereafter, the computer system may provide, to the security dashboard computing platform, the determined security score for the customer.
- Charlotte NC, US Xianhong Zhang - Issaquah WA, US Tao Huang - Bellevue WA, US Raghav Shenoy - Charlotte NC, US Palash K. Shil - Concord CA, US Andy Keys - Albany OR, US Vikram Jalota - Bellevue WA, US Arul Arasu Madavadiyan - Bainbridge Island WA, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
G06F 21/46 G06F 21/41 G06F 21/57
Abstract:
Methods and systems for evaluating customer security preferences are presented. In some embodiments, a computer system may receive, from a customer portal computing platform, a request for a security dashboard user interface for a customer. In response to receiving the request for the security dashboard user interface, the computer system may request, from a security score computing platform, a security score for the customer. Subsequently, the computer system may receive, from the security score computing platform, the security score for the customer. The computer system then may generate, based on the security score for the customer, the security dashboard user interface for the customer. Thereafter, the computer system may provide, to the customer portal computing platform, the generated security dashboard user interface for the customer.
Bank of America
Vice President; Consultant - Systems Engineering
Populus Group Jul 2012 - Mar 2013
Senior Software Engineer
Ibm Jun 2009 - Mar 2012
Team Lead
Datametrics Software Jun 2009 - Feb 2011
Senior Software Engineer
Ibm 2004 - 2010
Senior Software Engineer
Education:
Pg Center, Kolar 1980 - 2003
Bachelors, Computer Applications
Skills:
Java Enterprise Edition Jsp Java Javascript Web Services Web Development Websphere Servlets Css Db2 Websphere Application Server Xml Ajax Weblogic Hibernate Unix Microsoft Sql Server Html Html5 Freemarker Template Language Jquery Ui Vba Ibm Http Server Apache Tomcat Json Jsonp