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Krysta Suzanne Yousoufian

from Lake Forest Park, WA
Age ~35

Krysta Yousoufian Phones & Addresses

  • 6700 Roosevelt Way NE APT A301, Seattle, WA 98115
  • Lake Forest Park, WA
  • Vashon, WA
  • Bellevue, WA

Work

Company: Microsoft Jul 1, 2012 to Sep 2017 Position: Software development engineer ii

Education

School / High School: University of Washington 2007 to 2012

Skills

Software Development • Development • Software

Industries

Computer Software

Resumes

Resumes

Krysta Yousoufian Photo 1

Technical Product Manager

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Microsoft Jul 1, 2012 - Sep 2017
Software Development Engineer Ii

University of Washington Sep 2011 - Jun 2012
Teaching Assistant

Clean Power Research Jun 2011 - Sep 2011
Software Engineer Intern

Microsoft Jun 2010 - Sep 2010
Software Development Engineer In Test Intern

Cozi, Inc. Jun 2009 - Sep 2009
Software Engineer Intern
Education:
University of Washington 2007 - 2012
Skills:
Software Development
Development
Software

Publications

Us Patents

Hierarchical Control System For Optimal Management Of Energy Resources

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US Patent:
20220263317, Aug 18, 2022
Filed:
Feb 14, 2022
Appl. No.:
17/671126
Inventors:
- Seattle WA, US
Sam Skrivan - Seattle WA, US
Jacob Hansen - Dover NH, US
Krysta Suzanne Yousoufian - Lake Forest Park WA, US
International Classification:
H02J 3/32
H02J 13/00
Abstract:
Methods and systems are provided for optimizing energy management of an energy resource site. For instance, a hierarchical energy management system can provide optimized management of energy resource sites with large numbers of energy resources. In particular, the hierarchical energy management system can effectively control energy resources by allocating functionality using different tiers. For instance, one or more energy resources devices can comprise the lowest tier of the hierarchical energy management system. The next tier of the hierarchical energy management system can comprise one or more controllers that can manage the energy resource devices. The next tier of the hierarchical energy management system, a resource manager, generally manages the set of controllers.

Computing Device For Monitoring Patient Treatment Plans

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US Patent:
20180232491, Aug 16, 2018
Filed:
May 25, 2017
Appl. No.:
15/605615
Inventors:
- Redmond WA, US
Andrew M. Butler - Bellevue WA, US
Claire Wolf - Bellevue WA, US
Kevin James Eger - Bellevue WA, US
Krysta Yousoufian - Seattle WA, US
Matthew G.R. Fraser - Redmond WA, US
Michael Burford - Seattle WA, US
Rouella J. Mendonca - Redmond WA, US
Sarthak Datt - Seattle WA, US
Victor Vuong - Kirkland WA, US
Katherine W. Osborne - Kirkland WA, US
Wil Voss - Redmond WA, US
Kay Hofmeester - Redmond WA, US
International Classification:
G06F 19/00
Abstract:
In example embodiments, a machine receives, from a computing device of a health professional, a treatment plan for a patient. The machine receives, from a plurality of devices associated with the patient, activity data related to the patient. The machine determines that the activity data is related to compliance with the treatment plan. The machine provides, in response to determining that the activity data is related to compliance with the treatment plan, the activity data to the computing device of the health professional.

Artificial Intelligence To Edit Health Care Plans

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US Patent:
20180232492, Aug 16, 2018
Filed:
May 25, 2017
Appl. No.:
15/605723
Inventors:
- Redmond WA, US
Michael K. Neville - Duvall WA, US
Matthew G.R. Fraser - Redmond WA, US
Sarthak Datt - Seattle WA, US
Rouella J. Mendonca - Redmond WA, US
Victor Vuong - Kirkland WA, US
Krysta Yousoufian - Seattle WA, US
International Classification:
G06F 19/00
Abstract:
In example embodiments, a machine receives, at a server and from a computing device of a health professional, a treatment plan for a patient, the treatment plan comprising a plurality of tasks and a physiological goal. The machine receives, from a plurality of devices associated with the patient, activity data and physiological data related to the patient. The machine determines, based on the activity data and the physiological data, the patient's compliance with one or more tasks in the treatment plan. The machine updates the treatment plan based on the patient's compliance with the one or more tasks, the physiological goal, and a model based on an information tuple about the patient.
Krysta Suzanne Yousoufian from Lake Forest Park, WA, age ~35 Get Report