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Jason Chalecki Phones & Addresses

  • Charlotte, NC
  • 29 W 39Th Ave, San Mateo, CA 94403
  • Palo Alto, CA
  • Saratoga, CA
  • San Jose, CA
  • San Francisco, CA
  • Pittsburgh, PA
  • Redmond, WA
  • Elizabethtown, PA

Work

Company: Apple inc. Aug 2009 to Mar 2013 Position: Software engineer

Education

Degree: Masters School / High School: Carnegie Mellon University 2005 to 2006 Specialities: Human-Computer Interaction

Skills

Human Computer Interaction • Objective C • Ios • Contextual Design • Think Aloud • Java • C# • .Net • Ruby • Wire Framing • Heuristic Evaluation • Persona • Affinity Diagramming • Xml • Sql • C/C++ Stl

Industries

Internet

Resumes

Resumes

Jason Chalecki Photo 1

Staff Software Engineer

Location:
29 west 39Th Ave, San Mateo, CA 94403
Industry:
Internet
Work:
Apple Inc. Aug 2009 - Mar 2013
Software Engineer

Oracle Oct 2006 - Aug 2009
Senior Interaction Designer

Microsoft Jun 2001 - Aug 2005
Software Development Engineer

Microsoft Jun 2000 - Jun 2001
Software Design Engineer in Test
Education:
Carnegie Mellon University 2005 - 2006
Masters, Human-Computer Interaction
University of Washington 2002 - 2005
M.S., Computer Science & Engineering
Carnegie Mellon University 1996 - 2000
B.S., Computer Science
Skills:
Human Computer Interaction
Objective C
Ios
Contextual Design
Think Aloud
Java
C#
.Net
Ruby
Wire Framing
Heuristic Evaluation
Persona
Affinity Diagramming
Xml
Sql
C/C++ Stl

Publications

Us Patents

Persistently Determining And Sharing User Stays Of A User Of A Mobile Device

US Patent:
20140310366, Oct 16, 2014
Filed:
Jun 25, 2014
Appl. No.:
14/314286
Inventors:
Yun Fu - Cupertino CA, US
Chenyu Wang - Mountain View CA, US
Sam Song Liang - Palo Alta CA, US
Jason Chalecki - East Palo Alto CA, US
David Smiddy - San Francisco CA, US
Marlene Wan - Cupertino CA, US
Assignee:
Alohar Mobile Inc. - Palo Alto CA
International Classification:
H04L 12/58
US Classification:
709206
Abstract:
Methods, systems and apparatuses for automatically detecting and sharing user stays of a mobile device of a user are disclosed. One method includes persistently collecting location information, determining a group of users for sharing the user stays, determining whether the mobile device is within a specific distance of a specific location for at least specific minimum duration based on the location information, determining a user stay based on the location information and the specific distance, determining if the user stay is private or public to at least a portion of the group of users based on preferences of the user and the location information, and sharing the user stay with the at least the portion of the group of users by sending notifications to the group of users if the user stay is determined to be public to the at least the portion of the group of users.
Jason P Chalecki from Charlotte, NC, age ~46 Get Report