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Justin B Voskuhl

from Seattle, WA
Age ~49
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Also known as:
Justin Blair Voskuhl, Justin N Voskuhl, Justin B Yoskuhl
Phone and address:
2430 E Thomas St, Seattle, WA 98112
(206) 324-9949
Connected to:
Jay D Voskuhl, 52Rick E Voskuil, 72Laddie L Voslar, 61Bryan L Vosler, 56Janet R Vosler, 103Jeffrey S Vosler, 62Ryan M Vosler, 45Stuart J Vosler, 71Robert E Vosmeier, 72Mark W Vosmek, 59

Justin Voskuhl Phones & Addresses

  • 2430 E Thomas St, Seattle, WA 98112 (206) 324-9949
  • 722 22Nd St, Seattle, WA 98122
  • 8537 Innisfree Dr, Springfield, VA 22153 (703) 569-0064
  • Redmond, WA
  • Ithaca, NY
  • Kiona, WA
  • 8537 Innisfree Dr, Springfield, VA 22153

Resumes

Resumes

Justin Voskuhl Photo 1

Software Engineering Manager

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Facebook since Apr 2010
Software Engineer
Literacy Source 2012 - 2013
Board Member
Google Feb 2005 - Mar 2010
Staff Software Engineer
Microsoft Aug 1997 - Nov 2004
Software Engineer
Education:
University of Washington 2002 - 2004
MS, Computer Science Cornell University 1993 - 1997
Bachelor of Science, Computer Science
Skills:
Distributed Systems
Scalability
Software Engineering
Hadoop
Python
Agile Methodologies
Mapreduce
Ruby
Software Development
Algorithms
Software Design
Java
Javascript
Ruby on Rails
C++
Languages:
Japanese
Justin Voskuhl Photo 2

Software Engineering Manager

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Location:
Seattle, WA
Work:
Snap Inc.
Software Engineering Manager
Justin Voskuhl Photo 3

Justin Voskuhl

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Position:
Software Engineer at Facebook
Location:
Greater Seattle Area
Industry:
Computer Software
Work:
Facebook since Apr 2010
Software Engineer
Literacy Source 2012 - 2013
Board Member
Google Feb 2005 - Mar 2010
Staff Software Engineer
Microsoft Aug 1997 - Nov 2004
Software Engineer
Education:
University of Washington 2002 - 2004
MS, Computer Science Cornell University 1993 - 1997
Bachelor of Science, Computer Science
Skills:
Distributed Systems
Scalability
Software Engineering
Hadoop
Python
Agile Methodologies
MapReduce
Ruby
Software Development
Algorithms
Software Design
Java
JavaScript
Ruby on Rails
C++
C#
Git
Machine Learning
Computer Science
Linux
Languages:
Japanese

Publications

Us Patents

Inferring Household Income For Users Of A Social Networking System

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US Patent:
8583471, Nov 12, 2013
Filed:
Dec 27, 2011
Appl. No.:
13/338174
Inventors:
Justin B. Voskuhl - Seattle WA, US
Ramesh Vyaghrapuri - Kenmore WA, US
Assignee:
Facebook, Inc. - Menlo Park CA
International Classification:
G06Q 10/00
G06Q 30/00
US Classification:
705 733, 705 1453
Abstract:
Information about a set of users of a social networking system is obtained to develop a predictive model of income distribution for all users of the social networking system. This predictive model is based on selected attributes about the users (e. g. , declared/profile information, user historical information, and/or social information). Users of the social networking system are mapped to a specific income bracket based on statistical correlations derived from the predictive model. Advertisements are targeted to users based on income bracket. The system may use a machine learning algorithm to analyze conversion rates of targeted advertising to retrain the predictive model.

Inferring Household Income For Users Of A Social Networking System

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US Patent:
8600797, Dec 3, 2013
Filed:
Sep 13, 2012
Appl. No.:
13/615476
Inventors:
Justin B Voskuhl - Seattle WA, US
Ramesh Vyaghrapuri - Kenmore WA, US
Assignee:
Facebook, Inc. - Menlo Park CA
International Classification:
G06Q 10/00
US Classification:
705 733
Abstract:
Information about a set of users of a social networking system is obtained to develop a predictive model of income distribution for all users of the social networking system. This predictive model is based on selected attributes about the users (e. g. , declared/profile information, user historical information, and/or social information). Users of the social networking system are mapped to a specific income bracket based on statistical correlations derived from the predictive model. Advertisements are targeted to users based on income bracket. The system may use a machine learning algorithm to analyze conversion rates of targeted advertising to retrain the predictive model.

Integrated Electronic Mail And Instant Messaging Application

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US Patent:
20060101119, May 11, 2006
Filed:
Nov 10, 2004
Appl. No.:
10/985394
Inventors:
Imran Qureshi - Milpitas CA, US
Jason Fluegel - Seattle WA, US
Charles Little - San Jose CA, US
Mikhail Birman - San Carlos CA, US
Justin Voskuhl - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 15/16
US Classification:
709206000
Abstract:
An application providing a common interface allowing access and login to a electronic mail system and instant messaging system. The application allows responding to an email using an instant message, replying to an instant message using an email, sending and receiving both email and instant messages from one application, sending email attachments instantly, and displaying presence information for the user, user email contacts and user messenger contacts. Alerts are provided for both emails and instant messages received. The inbox vies can automatically be refreshed when a user receives new email. An interface is provided to convert multiple email contacts into messenger contacts. The system can be used with both local messenger clients and browser based IM clients.
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Justin B Voskuhl from Seattle, WA, age ~49 Get Report