Ram Mohan Shamanna

US Patent:

20050159172, Jul 21, 2005

Filed:

Jan 15, 2004

Appl. No.:

10/757437

Inventors:

Ram Shamanna - Richardson TX, US

International Classification:

H04Q007/20

US Classification:

455456200, 455457000, 455414200

Abstract:

A system and corresponding method provide a web-based location finder service that enables a user to locate a subscriber's mobile telephone handset using a web browser. The web-based location finder service uses a position determination system to determine the location of a mobile telephone handset. A user with permission may use a web browser on a computer, such as a personal computer (PC) or a handheld computer, to log on to the web-based location finder service and conveniently track the location of a mobile telephone handset.

US Patent:

20070142038, Jun 21, 2007

Filed:

Dec 19, 2005

Appl. No.:

11/311854

Inventors:

Ram Shamanna - Richardson TX, US

International Classification:

H04Q 7/38

US Classification:

455414100

Abstract:

Systems, methods, and devices are provided for providing dynamic service provisioning. One method embodiment includes initiating a request for a non subscription service that is provided by a wireless service provider, receiving the request to a subscription database, and providing an option to receive the non subscription service as a per use service.

US Patent:

20200065914, Feb 27, 2020

Filed:

Oct 29, 2019

Appl. No.:

16/667611

Inventors:

- Mountain View CA, US
Anu Singh - San Francisco CA, US
Peter Thomas - Bangalore, IN
Madhusudhanan Dharumaraj - Bangalore, IN
Steve George Goyette - Maple Ridge, CA
Ram Shamanna - Frisco TX, US

Assignee:

Intuit Inc. - Mountain View CA

International Classification:

G06Q 40/00
G06Q 10/06
G06Q 10/10

Abstract:

A system for account mapping includes functionality for obtaining more than one labeled accounts labeled by more than one accountant; pre-processing more than one labeled accounts using natural language processing, using the more than one pre-processed labeled accounts to train an account mapping model that performs multinomial classification; receiving an account name from an accounting application where the account name includes a text label for an account included in a chart of accounts; generating an account mapping by applying the account mapping model to the account name, where the account mapping includes a type of the account, a sub-type of the account, a code, and a series associated with an accounting form; returning the account mapping to the accounting application through an Application Programming Interface (API); and receiving a corrected account mapping from an accountant and using the corrected account mapping as a new text label to incrementally update the account mapping model.

US Patent:

20200042645, Feb 6, 2020

Filed:

Aug 3, 2018

Appl. No.:

16/054781

Inventors:

Ronnie Douglas Douthit - Frisco TX, US
Deepankar Mohapatra - The Colony TX, US
Ram Mohan Shamanna - Frisco TX, US
Chiranjeev Jagannadha Reddy - Frisco TX, US
Yexin Huang - Plano TX, US
Trichur Shivaramakrishnan Subramanian - McKinney TX, US
Chinnadurai Duraisami - Plano TX, US
Karpaga Ganesh Patchirajan - Plano TX, US
Amar J. Mattey - Frisco TX, US

Assignee:

Intuit Inc. - Mountain View CA

International Classification:

G06F 17/30
G06Q 40/00
G06N 5/02

Abstract:

A method including receiving a source file containing a plurality of documents which, to a computer, initially are indistinguishable from each other. A first classification stage is applied to the source file using a convolutional neural network image classification to identify source documents in the multitude of documents and to produce a partially parsed file having a multitude of identified source documents. The partially parsed file includes sub-images corresponding to the plurality of identified source documents. A second classification stage, including a natural language processing artificial intelligence, is applied to sets of text in bounding boxes of the sub-images, to classify each of the multitude of identified source documents as a corresponding sub-type of document. Each of the sets of text corresponding to one of the sub-images. A parsed file having a multitude of identified sub-types of documents is produced. The parsed file is further computer processed.