Search

Pradeep S Javangula

from San Jose, CA
Age ~56
Get Report
Also known as:
Pradeep K Javangula, Pradeep A
Phone and address:
5819 Pala Mesa Dr, San Jose, CA 95123
(408) 224-6930
Related to:
Bruce Ira Green, 63Barbara F GreenPratyusha Javangula, 28Sobha Javangula, 58
Connected to:
Shahnaz H Javantash, 70Jerrod M Javante, 31George B Javaras, 85John C Javaras, 76Naveen Javarappa, 51Kumar H Javarayappa, 55Andre Javardian, 70Tom G Javarinis, 61Joseph R Javate, 46Karen A Javate, 48

Pradeep Javangula Phones & Addresses

  • 5819 Pala Mesa Dr, San Jose, CA 95123 (408) 224-6930
  • 204 Birch Ridge Cir, San Jose, CA 95123 (408) 224-6930
  • Mission Viejo, CA
  • Grapevine, TX
  • Lake Forest, CA
  • Sanger, CA
  • Stillwater, OK
  • Albuquerque, NM

Work

Company: Workday Jan 2020 Position: Vice president of machine learning and artificial intelligence

Education

Degree: Master of Science, Masters, Bachelors, Bachelor of Engineering School / High School: Birla Institute of Technology and Science, Pilani Specialities: Mathematics, Engineering

Skills

Machine Learning • Algorithms • Search • User Interface • Ad Serving • Personalization • Architecture • Analytics • Dynamic Ad Serving Platforms • Wlan • Search and Personalization Engines • Analyticals Systems and Visuallization

Languages

English

Interests

Collecting Antiques • Exercise • Home Improvement • Social Innovation • Reading • Shooting • Gourmet Cooking • Sports • The Arts • Food • Advertising and Advertisements • Home Decoration • Health • Ad Networks and Ad Services • Cooking • Electronics • Outdoors • Crafts • Fitness • Running • Bikram Yoga • Internet Advertising • Family Values • Collecting • Christianity • Kids • Hermann Hesse (Author) • Medicine • Automobiles • Social Entrepreneurship • Travel • Display Advertising • Boating • Design • Investing • Traveling • Cricket (Sport) • Meditation • Aldous Huxley (Author)

Emails

p***[email protected]

Industries

Computer Software

Resumes

Resumes

Pradeep Javangula Photo 1

Vice President Of Machine Learning And Artificial Intelligence

View page
Location:
5819 Pala Mesa Dr, San Jose, CA 95123
Industry:
Computer Software
Work:
Workday
Vice President of Machine Learning and Artificial Intelligence
Symphonyai Jul 2017 - Jan 2020
Chief Ai Officer
Adobe May 2012 - Jul 2017
Vice President of Engineer Marketing Cloud: Search and Personalization, Sensei , Mobility, Content Marketing
Collective Jul 2011 - May 2012
Vice President, Engineering
Tumri May 2005 - Jul 2011
Co-Founder and Chief Technology Officer
Education:
Birla Institute of Technology and Science, Pilani
Master of Science, Masters, Bachelors, Bachelor of Engineering, Mathematics, Engineering All Saints' High School
Oklahoma State University
Master of Science, Doctorates, Masters, Doctor of Philosophy, Mathematics, Computer Science, Number Theory
Skills:
Machine Learning
Algorithms
Search
User Interface
Ad Serving
Personalization
Architecture
Analytics
Dynamic Ad Serving Platforms
Wlan
Search and Personalization Engines
Analyticals Systems and Visuallization
Interests:
Collecting Antiques
Exercise
Home Improvement
Social Innovation
Reading
Shooting
Gourmet Cooking
Sports
The Arts
Food
Advertising and Advertisements
Home Decoration
Health
Ad Networks and Ad Services
Cooking
Electronics
Outdoors
Crafts
Fitness
Running
Bikram Yoga
Internet Advertising
Family Values
Collecting
Christianity
Kids
Hermann Hesse (Author)
Medicine
Automobiles
Social Entrepreneurship
Travel
Display Advertising
Boating
Design
Investing
Traveling
Cricket (Sport)
Meditation
Aldous Huxley (Author)
Languages:
English

Business Records

Name / Title
Company / Classification
Phones & Addresses
Pradeep Javangula
CTO
Embedded Works Corporation
Wireless · Whol Electronic Parts/Equipment · Custom Computer Programming Services
2855 Kifer Rd SUITE 101, Santa Clara, CA 95051
2953 Bunker Hl Ln, Santa Clara, CA 95054
(888) 993-6233, (408) 282-3526
Pradeep Javangula
Chief Technology Officer
Tumri, Inc
Prepackaged Software Services
2953 Bunker Hl Ln, Santa Clara, CA 95054
(408) 282-3585

Publications

Us Patents

Publish-Subscribe Architecture Using Information Objects In A Computer Network

View page
US Patent:
6636886, Oct 21, 2003
Filed:
May 14, 1999
Appl. No.:
09/312131
Inventors:
Dinesh Katiyar - Redwood City CA
Eshwar Belani - San Jose CA
Pradeep Javangula - San Jose CA
Assignee:
E.piphany, Inc. - San Mateo CA
International Classification:
G06F 1516
US Classification:
709203, 707 3
Abstract:
Various aspects of the invention provide for the creation, modification, transfer, manipulation, requesting and destruction of information objects in a computer network. Although some aspects of the invention are based on publish-subscribe techniques, many modifications and additional features are provided.

User Interface For A Distributed Messaging Framework

View page
US Patent:
6745203, Jun 1, 2004
Filed:
Apr 1, 1999
Appl. No.:
09/283264
Inventors:
Suneet Garg - Sunnyvale CA
Dinesh Katiyar - Redwood City CA
Pradeep Javangula - San Jose CA
Assignee:
E.piphany, Inc. - San Mateo CA
International Classification:
G06F 1730
US Classification:
707103R, 707 3, 709201
Abstract:
A computer user interface for handling information objects. The interface allows a user to make a request for information in the form of a one-time query or a persistent query. With the one-time query, the user defines one or more conditions in terms of attributes and values. The appropriate classes of objects are checked and any matching objects are identified as satisfying the query. A persistent query allows such a condition to be active at all times so that when one or more objects are created that satisfy the condition, those objects are identified as meeting the condition. Other features of the user interface allow the user to define objects and publish objects. Objects can be created or edited based on a class whose attributes are inherited. A predefined selection of menu options makes creating, editing and publishing objects simple and efficient. Access controls and settings are provided to control rights to created objects.

Augmented Processing Of Information Objects In A Distributed Messaging Framework In A Computer Network

View page
US Patent:
6769032, Jul 27, 2004
Filed:
May 14, 1999
Appl. No.:
09/311908
Inventors:
Dinesh Katiyar - Redwood City CA
Eshwar Belani - San Jose CA
Pradeep Javangula - San Jose CA
Assignee:
E.piphany, Inc. - San Mateo CA
International Classification:
G06F 1516
US Classification:
709246, 709203, 709245, 709217, 709218, 707 3, 707103
Abstract:
Augmenting processing of information objects transferred among processors within a network. Processing is performed by a process, or processor, (called a ârobotâ) at any point in the network where an information object is transferred, or where the object resides. By allowing processing at source, destination and at âinterimâ points between the source and destination, the ability to add functionality, services, control and management of objects and object transfers is greatly enhanced. The robots, can reside at any point in the system. A robot can be local to an end-users computer, can reside on a content source server, or can be on another computer, processor, storage location or device on the network. Any type of processing can be performed by the robots. For example, access rights can be maintained so that certain attributes and values of information objects are restricted on a per user, per machine, chronological or other basis.

Approach For Processing Electronic Orders

View page
US Patent:
7246084, Jul 17, 2007
Filed:
Nov 14, 2000
Appl. No.:
09/713135
Inventors:
Pradeep Javangula - San Jose CA, US
Norbert Hendrikse - Berkeley CA, US
Sailendra K. Padala - San Mateo CA, US
Assignee:
E-centives, Inc. - Bethesda MD
International Classification:
G06Q 30/00
US Classification:
705 26, 705 35
Abstract:
Processing an electronic order involves receiving from a mobile customer device first order data for an order that contains less than a minimum set of data required by a merchant to completely process the order. Additional information required by the merchant to completely process the order is retrieved. Second order data is generated based upon the first order data and the additional information. The second order data contains at least the minimum set of data required by the merchant to completely process the order. The second order data is provided to a merchant for processing.

Publish-Subscribe Architecture Using Information Objects In A Computer Network

View page
US Patent:
7266826, Sep 4, 2007
Filed:
Jul 18, 2003
Appl. No.:
10/622336
Inventors:
Dinesh Katiyar - Redwood City CA, US
Eshwar Belani - San Jose CA, US
Pradeep Javangula - San Jose CA, US
Assignee:
Epiphany, Inc. - CA
International Classification:
G06F 9/46
G06F 15/16
G06F 7/00
US Classification:
719316, 719310, 709201, 709202, 709203, 707 10
Abstract:
Various aspects of the invention provide for the creation, modification, transfer, manipulation, requesting and destruction of information objects in a computer network. Although some aspects of the invention are based on publish-subscribe techniques, many modifications and additional features are provided.

Approach For Processing Electronic Orders

View page
US Patent:
7558747, Jul 7, 2009
Filed:
Apr 17, 2007
Appl. No.:
11/736213
Inventors:
Pradeep Javangula - San Jose CA, US
Norbert Hendrikse - Berkeley CA, US
Sailendra K. Padala - San Mateo CA, US
Assignee:
Invenda Corporation - Bethesda MD
International Classification:
G06Q 40/00
US Classification:
705 26, 705 27, 705 35
Abstract:
Processing an electronic order involves receiving from a mobile customer device first order data for an order that contains less than a minimum set of data required by a merchant to completely process the order. Additional information required by the merchant to completely process the order is retrieved. Second order data is generated based upon the first order data and the additional information. The second order data contains at least the minimum set of data required by the merchant to completely process the order. The second order data is provided to a merchant for processing.

Automated Merchandising Network System

View page
US Patent:
20080097842, Apr 24, 2008
Filed:
Mar 14, 2007
Appl. No.:
11/686223
Inventors:
Venkatakrishna TIRUMALA - Bangalore, IN
Pradeep JAVANGULA - San Jose CA, US
Tony LOESER - Palo Alto CA, US
James RICE - Redwood City CA, US
Richard BILLINGTON - Palo Alto CA, US
Simon HANDLEY - Palo Alto CA, US
Bhavin DOSHI - Mountain View CA, US
International Classification:
G06Q 30/00
US Classification:
705 14
Abstract:
An automated network merchandising system provides a platform for delivering relevant retail offers to interested consumers online. A backend content pipeline analyzes and processes delivered catalog content into a merchandisable universe of products (MUP). On a user-facing end, corner stores—ad units appearing on pages of publishers' web sites—display offers from the MUP. Publishers deploy store scripts to their web pages. The script runs in the user's browser, causing display of an interactive ad unit featuring product offers. An adaptive targeting engine produces targeted product offers based on the ad's display context, including at least user data, page analysis and geographic location. A targeting console allows marketers to specify campaigns targeted to particular corner store ad contexts. Campaigns are defined by combinations of product categories, merchants, price ranges and key words. A store builder allows publishers to specify campaigns to be displayed to web site visitors.

Method Of Network Merchandising Incorporating Contextual And Personalized Advertising

View page
US Patent:
20080097843, Apr 24, 2008
Filed:
Mar 14, 2007
Appl. No.:
11/686230
Inventors:
Hari Menon - Fremont CA, US
Pradeep Javangula - San Jose CA, US
Tony Loeser - Palo Alto CA, US
James Rice - Redwood City CA, US
Richard Billington - Palo Alto CA, US
Simon Handley - Palo Alto CA, US
Bhavin Doshi - Mountain View CA, US
International Classification:
G06Q 30/00
US Classification:
705 14
Abstract:
A method of network merchandising incorporates contextual and personalized advertising with human input to deliver relevant retail offers to interested online consumers efficiently and intelligently. Catalog content from retailers is downloaded, semantically analyzed and merged. The merged content is filtered using machine- and human-generated specifications to produce a merchandisable universe of products (MUP). Marketers and publishers create and modify corner store ad units and specify product offers from the MUP to display in those units. Publishers deploy the ad units on their web pages. Compensation of publishers by retailers can use a pay-for-performance model. Users visit the publisher's pages, viewing the product offers in the rendered ad unit. Performance data related to context, history, network and geo-location, product attributes and product combinations is derived from server log files is used to dynamically optimize and refine product placement in real time, providing a highly personalized experience for the user.
Control profile
Pradeep S Javangula from San Jose, CA, age ~56 Get Report