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Bjorn F Chambless

from Portland, OR
Age ~54
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Also known as:
Bijorn F Chambless
Phone and address:
4217 Longview Ave, Portland, OR 97217
(503) 242-1585
Related to:
Richard D Chambless, 69Douglas D ChamblessGundula Moldenhawer Chambless, 79Gundula ChamblessDonald F Chambless, 93Gun Moldenhawer
Connected to:
Annette F Chamblee, 90Caleb Chambless, 34Christopher Chambless, 48Daniela H Chambless, 55Darrell G Chambless, 88Davis B Chamblee, 66Debora Chambless, 57Donnie H Chambless, 53Elizabeth J Chambless, 43Elva M Chambless, 77

Bjorn Chambless Phones & Addresses

  • 4217 Longview Ave, Portland, OR 97217 (503) 242-1585
  • 1936 Raleigh St, Portland, OR 97209 (503) 242-1582
  • Chicago, IL
  • 4217 N Longview Ave, Portland, OR 97217 (503) 242-1582

Work

Company: Ebay May 2017 Position: Senior ios software engineer

Education

Degree: High school graduate or higher

Skills

Databases • Neural Networks • Operating Systems • Software Development • Data Analysis • Artificial Intelligence • Agile Methodologies • Python • Iphone Application Development • Ios • Git • Software Engineering • Object Oriented Design • Web Services • Sql • Ios Development • Swift • Xcode • Mobile Applications • Os X • Object Oriented Programming • Sqlite • Software Development Life Cycle • Web Development

Ranks

Certificate: Computer Science Masters Degree

Industries

Computer Software

Resumes

Resumes

Bjorn Chambless Photo 1

Senior Ios Software Engineer

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Location:
Portland, OR
Industry:
Computer Software
Work:
Ebay
Senior Ios Software Engineer
Terrastride Inc. Apr 2016 - Apr 2017
Senior Ios Developer
Built Light Jan 2010 - Apr 2016
Ios Developer
Treehouse 2015 - 2016
Teacher, Script Writer
Bloc, Inc. Jul 2014 - Oct 2015
Ios Development Mentor
Skills:
Databases
Neural Networks
Operating Systems
Software Development
Data Analysis
Artificial Intelligence
Agile Methodologies
Python
Iphone Application Development
Ios
Git
Software Engineering
Object Oriented Design
Web Services
Sql
Ios Development
Swift
Xcode
Mobile Applications
Os X
Object Oriented Programming
Sqlite
Software Development Life Cycle
Web Development
Certifications:
Computer Science Masters Degree
Portland State University

Publications

Us Patents

Electronic Employee Selection Systems And Methods

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US Patent:
7310626, Dec 18, 2007
Filed:
Jan 24, 2005
Appl. No.:
11/042544
Inventors:
David J. Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Richard W. Becker - Portland OR, US
Thomas F. Check - Beaverton OR, US
Deme M. Clainos - Lake Oswego OR, US
Maxwell W. Eng - Portland OR, US
Joel R. Levy - Portland OR, US
Adam N. Mertz - Portland OR, US
George E. Paajanen - West Linn OR, US
David R. Smith - Beaverton OR, US
John R. Smith - Hillsboro OR, US
Assignee:
Kronos Talent Management Inc. - Beaverton OR
International Classification:
G06F 17/00
G06N 5/04
US Classification:
706 60, 706 14, 706 12
Abstract:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e. g. , tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Employee Selection Via Multiple Neural Networks

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US Patent:
7472097, Dec 30, 2008
Filed:
Mar 20, 2006
Appl. No.:
11/386067
Inventors:
David J. Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Anne Thissen-Roe - Vancouver WA, US
Assignee:
Kronos Talent Management Inc. - Beaverton OR
International Classification:
G06E 1/00
G06E 3/00
G06F 15/18
G06G 7/00
US Classification:
706 26
Abstract:
A plurality of neural networks or other models can be used in employee selection technologies. A hiring recommendation can be based at least on processing performed by a plurality of neural networks. For example, parallel or series processing by neural networks can be performed. A neural network can be coupled to one or more other neural networks. A binary or other n-ary output can be generated by one or more of the neural networks. In a series arrangement, candidates can be processed sequentially in multiple stages, and those surviving the stages are recommended for hire.

Development Of Electronic Employee Selection Systems And Methods

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US Patent:
7558767, Jul 7, 2009
Filed:
Aug 2, 2001
Appl. No.:
09/921993
Inventors:
David J. Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Richard W. Becker - Portland OR, US
Thomas F. Check - Beaverton OR, US
Deme M. Clainos - Lake Oswego OR, US
Maxwell W. Eng - Portland OR, US
Joel R. Levy - Portland OR, US
Adam N. Mertz - Portland OR, US
George E. Paajanen - West Linn OR, US
David R. Smith - Beaverton OR, US
John R. Smith - Hillsboro OR, US
Assignee:
Kronos Talent Management Inc. - Beaverton OR
International Classification:
G06F 15/18
US Classification:
706 21, 706 46, 705 11
Abstract:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e. g. , tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Development Of Electronic Employee Selection Systems And Methods

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US Patent:
7562059, Jul 14, 2009
Filed:
Aug 11, 2004
Appl. No.:
10/917252
Inventors:
David J. Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Richard W. Becker - Portland OR, US
Thomas F. Check - Beaverton OR, US
Deme M. Clainos - Lake Oswego OR, US
Maxwell W. Eng - Portland OR, US
Joel R. Levy - Portland OR, US
Adam N. Mertz - Portland OR, US
George E. Paajanen - West Linn OR, US
David R. Smith - Beaverton OR, US
John R. Smith - Hillsboro OR, US
Assignee:
Kronos Talent Management Inc. - Beaverton OR
International Classification:
G06E 1/00
US Classification:
706 21, 706 46, 705 11
Abstract:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e. g. , tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Electronic Employee Selection Systems And Methods

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US Patent:
8265977, Sep 11, 2012
Filed:
Feb 17, 2011
Appl. No.:
13/030057
Inventors:
David J. Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Richard W. Becker - Portland OR, US
Thomas F. Check - Beaverton OR, US
Deme M. Clainos - Lake Oswego OR, US
Maxwell W. Eng - Portland OR, US
Joel R. Levy - Portland OR, US
Adam N. Mertz - Portland OR, US
George E. Paajanen - West Linn OR, US
David R. Smith - Beaverton OR, US
John R. Smith - Hillsboro OR, US
Assignee:
Kronos Talent Management Inc. - Beaverton OR
International Classification:
G06Q 10/00
US Classification:
705 717, 705321, 706 21
Abstract:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e. g. , tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Electronic Employee Selection Systems And Methods

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US Patent:
8046251, Oct 25, 2011
Filed:
Oct 8, 2004
Appl. No.:
10/962191
Inventors:
David J. Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Richard W. Becker - Portland OR, US
Thomas F. Check - Beaverton OR, US
Deme M. Clainos - Lake Oswego OR, US
Maxwell W. Eng - Portland OR, US
Joel R. Levy - Portland OR, US
Adam N. Mertz - Portland OR, US
George E. Paajanen - West Linn OR, US
David R. Smith - Beaverton OR, US
John R. Smith - Hillsboro OR, US
Assignee:
Kronos Talent Management Inc. - Beaverton OR
International Classification:
G06Q 10/00
US Classification:
705 717, 705321, 706 21
Abstract:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e. g. , tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Electronic Employee Selection Systems And Methods

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US Patent:
20020046199, Apr 18, 2002
Filed:
Aug 2, 2001
Appl. No.:
09/922197
Inventors:
David Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Richard Becker - Portland OR, US
Thomas Check - Beaverton OR, US
Deme Clainos - Lake Oswego OR, US
Maxwell Eng - Portland OR, US
Joel Levy - Portland OR, US
Adam Mertz - Portland OR, US
George Paajanen - West Linn OR, US
David Smith - Beaverton OR, US
John Smith - Hillsboro OR, US
Assignee:
Unicru, Inc.
International Classification:
G06F015/18
US Classification:
706/021000
Abstract:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Electronic Employee Selection Systems And Methods

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US Patent:
20100287110, Nov 11, 2010
Filed:
Jul 22, 2010
Appl. No.:
12/841972
Inventors:
David J. Scarborough - West Linn OR, US
Bjorn Chambless - Portland OR, US
Richard W. Becker - Portland OR, US
Thomas F. Check - Beaverton OR, US
Deme M. Clainos - Lake Oswego OR, US
Maxwell W. Eng - Portland OR, US
Joel R. Levy - Portland OR, US
Adam N. Mertz - Portland OR, US
George E. Paajanen - West Linn OR, US
David R. Smith - Beaverton OR, US
John R. Smith - Hillsboro OR, US
Assignee:
Kronos Talent Management Inc. - Beaverton OR
International Classification:
G06Q 10/00
G06N 5/02
US Classification:
705321, 706 52
Abstract:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.
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Bjorn F Chambless from Portland, OR, age ~54 Get Report