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Garrett V Biesinger

from Farmington, UT
Age ~45
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Also known as:
Garrett Amanda Biesinger, Garrett B Biesinger, Grant R
Phone and address:
79 Citation Dr, Farmington, UT 84025
Related to:
Chelsey Maree Winegar, 36Alicia S Hall, 47Estle D Sadorus, 73Danae B Sadorus, 71Anjanette D Broderick, 50Addie D Sadorus, 38
Connected to:
Christina A Biesinger, 57Loralyn D Biesinger, 58Trent Biesinger, 32Christophe Biesmans, 55Frank M Biess, 81John L Biess, 67Andrew J Biesterveld, 38Ashley A Biesterveld, 30Bryan D Biesterfeld, 60Lindsay V Biesterfeld, 42

Garrett Biesinger Phones & Addresses

  • 79 Citation Dr, Farmington, UT 84025
  • Broken Bow, OK
  • Kissimmee, FL
  • St Petersburg, FL
  • 172 500, Bountiful, UT 84010 (801) 397-2132
  • North Salt Lake, UT
  • Salt Lake City, UT
  • Burlingame, CA
  • 1786 W Spring Meadow Ln, Farmington, UT 84025

Work

Company: Landesk software Jun 2012 to Apr 2015 Position: User experience interaction designer

Education

Degree: Associate degree or higher

Skills

User Experience • User Interface Design • Agile Methodologies • Interaction Design • User Experience Design • Usability Testing • User Interface • Mobile Devices • Scrum • Web Development • Information Architecture • Wireframes • Cloud Computing • Contextual Inquiry • Web Applications • End User Research • User Experience Testing • Html • Css • Mobile Interaction Design • Adobe Fireworks • Mockups • Rapid Prototyping • User Research • Javascript • Mobile Applications • Responsive Web Design • Experience Design • Software Design • Css Sprites • Saas • Cascading Style Sheets • Software As A Service • Persona • Usability • Wire Framing • Paper Prototyping • Certified Scrum Master Csm • Product Design • Requirements Gathering • Requirements Analysis • Card Sorting • Css3 • Jquery • Jquery Ui

Industries

Computer Software

Resumes

Resumes

Garrett Biesinger Photo 1

User Experience Designer

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Location:
1200 Hwy #22, Bridgewater, NJ
Industry:
Computer Software
Work:
Landesk Software Jun 2012 - Apr 2015
User Experience Interaction Designer
Venafi Jun 2012 - Apr 2015
User Experience Designer
Wavelink Apr 2007 - Jun 2012
User Experience Interaction Designer and Senior Web Developer
1-800 Patches 2005 - 2007
Senior Web Developer and It Manager
Skills:
User Experience
User Interface Design
Agile Methodologies
Interaction Design
User Experience Design
Usability Testing
User Interface
Mobile Devices
Scrum
Web Development
Information Architecture
Wireframes
Cloud Computing
Contextual Inquiry
Web Applications
End User Research
User Experience Testing
Html
Css
Mobile Interaction Design
Adobe Fireworks
Mockups
Rapid Prototyping
User Research
Javascript
Mobile Applications
Responsive Web Design
Experience Design
Software Design
Css Sprites
Saas
Cascading Style Sheets
Software As A Service
Persona
Usability
Wire Framing
Paper Prototyping
Certified Scrum Master Csm
Product Design
Requirements Gathering
Requirements Analysis
Card Sorting
Css3
Jquery
Jquery Ui

Business Records

Name / Title
Company / Classification
Phones & Addresses
Garrett Biesinger
Principal
Stonehenge Asset Mangement, LLC
Management Services
891 Southhampton Dr, North Salt Lake, UT 84054

Publications

Us Patents

Assisted Improvement Of Security Reliance Scores

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US Patent:
20160344544, Nov 24, 2016
Filed:
Apr 25, 2016
Appl. No.:
15/137132
Inventors:
Garrett Val Biesinger - Farmington UT, US
Daniel G. DeBate - Salt Lake City UT, US
Harigopan Ravindran Nair - Santa Clara CA, US
Remo Ronca - Salt Lake City UT, US
Matthew Woods - Cuppertino CA, US
International Classification:
H04L 9/08
Abstract:
In representative embodiments, a system and method to recommend improvements to a security reliance score is illustrated. Individual cryptographic key material has an associated security reliance score that is calculated based on attributes of associated with the cryptographic key material. The system identifies an improvement goal and evaluates a selected cross-section of key material and their associated scores. Based on the evaluation, the system creates an exemplary model having attributes to use as the basis of improvement. This model is then used to calculate improvement potential for a selected cross-section of scores by calculating the improvement that would occur if changes were made in the selected cross-section to match the model. Based on the improvement potential, the system can then automatically initiate action(s) to improve scores or present options for action(s) to a user for selection and initiation.
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Garrett V Biesinger from Farmington, UT, age ~45 Get Report