Search

Priyanka S Gariba

age ~40

from San Francisco, CA

Get Report
Also known as:
  • Gariba Priyanka
Related to:
Connected to:

Priyanka Gariba Phones & Addresses

  • San Francisco, CA
  • San Mateo, CA
  • 55 Hill Rd, Belmont, MA 02478 • (617)9933250
  • North Dartmouth, MA
  • Woburn, MA
  • N Dartmouth, MA

Work

  • Company:
    Citrix
    Feb 2012
  • Address:
    Greater Boston Area
  • Position:
    Project lead- global product automation team

Education

  • Degree:
    Master's degree
  • School / High School:
    University of Massachusetts Dartmouth
    2006 to 2008
  • Specialities:
    Computer Science

Skills

Testing • Agile Methodologies • Test Automation • Software Development • Scrum • Sql • Project Management • Sdlc • Software Engineering • Management • Enterprise Software • Software Project Management • Cloud Computing • Program Management • Virtualization • Requirements Analysis • Strategic Communications • Perl • C • C++ • Linux • Team Leadership • Project Planning • Web Applications • Strategic Planning • Risk Management • Resource Management • Risk Analysis • Product Management • Xml • Microsoft Sql Server • Teamwork • Global Management • Distributed Systems • Agile Project Management • Integration • Software Design • Powershell • Visual Studio • C# • Databases • Saas • Cross Functional Team Leadership • Metrics • Software Quality Assurance • Quality Assurance • Test Planning • Test Cases • Regression Testing • Unix

Languages

English • Hindi

Ranks

  • Certificate:
    Certified Scrum Master (Csm)

Interests

New Technologies • Creative Art (Outside Work) • Women In Tech Initiatives

Industries

Internet

Resumes

Priyanka Gariba Photo 1

Manager, Technical Program Management - Ai And Machine Learning

view source
Location:
43940 Digital Loudoun Plz, Ashburn, VA 20146
Industry:
Internet
Work:
Citrix - Greater Boston Area since Feb 2012
Project Lead- Global Product Automation Team
Citrix - Greater Boston Area Jan 2012 - Feb 2012
Senior Software Test Engineer
Citrix Systems Oct 2008 - Jan 2012
Software Test Engineer
Software Cataysts 2008 - 2008
Software Quality Engineer
UMass Dartmouth 2007 - 2008
Graduate Assistant (Student Affairs)
Education:
University of Massachusetts Dartmouth 2006 - 2008
Master's degree, Computer Science University of Mumbai 2002 - 2006
Bachelor of Science, Computer Engineering
Skills:
Testing
Agile Methodologies
Test Automation
Software Development
Scrum
Sql
Project Management
Sdlc
Software Engineering
Management
Enterprise Software
Software Project Management
Cloud Computing
Program Management
Virtualization
Requirements Analysis
Strategic Communications
Perl
C
C++
Linux
Team Leadership
Project Planning
Web Applications
Strategic Planning
Risk Management
Resource Management
Risk Analysis
Product Management
Xml
Microsoft Sql Server
Teamwork
Global Management
Distributed Systems
Agile Project Management
Integration
Software Design
Powershell
Visual Studio
C#
Databases
Saas
Cross Functional Team Leadership
Metrics
Software Quality Assurance
Quality Assurance
Test Planning
Test Cases
Regression Testing
Unix
Interests:
New Technologies
Creative Art (Outside Work)
Women In Tech Initiatives
Languages:
English
Hindi
Certifications:
Certified Scrum Master (Csm)
Ai the Linkedin Way: A Conversation With Deepak Agarwal

Us Patents

  • Framework For Managing Features Across Environments

    view source
  • US Patent:
    20190325085, Oct 24, 2019
  • Filed:
    Apr 20, 2018
  • Appl. No.:
    15/959005
  • Inventors:
    - Redmond WA, US
    Paul T. Ogilvie - Palo Alto CA, US
    Bee-Chung Chen - San Jose CA, US
    Shaunak Chatterjee - Sunnyvale CA, US
    Priyanka Gariba - San Mateo CA, US
    Ke Wu - Sunnyvale CA, US
    Grace W. Tang - Los Altos CA, US
    Yangchun Luo - Sunnyvale CA, US
    Boyi Chen - Santa Clara CA, US
    Amit Yadav - Milpitas CA, US
    Ruoyang Wang - Palo Alto CA, US
    Divya Gadde - Sunnyvale CA, US
    Wenxuan Gao - Santa Clara CA, US
    Amit Chandak - Bangalore, IN
    Varnit Agnihotri - Karnataka, IN
    Wei Zhuang - Palo Alto CA, US
    Joel D. Young - Milpitas CA, US
    Weidong Zhang - San Jose CA, US
  • Assignee:
    Microsoft Technology Licensing, LLC - Redmond WA
  • International Classification:
    G06F 17/30
    G06F 9/445
    G06K 9/62
    G06F 15/18
  • Abstract:
    The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.

  • Early Feedback Of Schematic Correctness In Feature Management Frameworks

    view source
  • US Patent:
    20190325258, Oct 24, 2019
  • Filed:
    Apr 20, 2018
  • Appl. No.:
    15/958997
  • Inventors:
    - Redmond WA, US
    Ke Wu - Sunnyvale CA, US
    Priyanka Gariba - San Mateo CA, US
    Grace W. Tang - Los Altos CA, US
    Yangchun Luo - Sunnyvale CA, US
    Songxiang Gu - Sunnyvale CA, US
    Bee-Chung Chen - San Jose CA, US
  • Assignee:
    Microsoft Technology Licensing, LLC - Redmond WA
  • International Classification:
    G06K 9/62
    G06F 15/18
  • Abstract:
    The disclosed embodiments provide a system for processing data. During operation, the system obtains feature configurations for a set of features and a command for inspecting a data set that is produced using the feature configurations. Next, the system obtains, from the feature configurations, one or more anchors containing metadata for accessing the set of features in an environment and a join configuration for joining a feature with one or more additional features. The system then uses the anchors to retrieve feature values of the features and zips the feature values according to the join configuration without matching entity keys associated with the feature values. Finally, the system outputs the zipped feature values in response to the command.

  • Managing Derived And Multi-Entity Features Across Environments

    view source
  • US Patent:
    20190325262, Oct 24, 2019
  • Filed:
    Apr 20, 2018
  • Appl. No.:
    15/958990
  • Inventors:
    - Redmond WA, US
    Paul T. Ogilvie - Palo Alto CA, US
    Bee-Chung Chen - San Jose CA, US
    Ke Wu - Sunnyvale CA, US
    Grace W. Tang - Los Altos CA, US
    Priyanka Gariba - San Mateo CA, US
    Yangchun Luo - Sunnyvale CA, US
    Boyi Chen - Santa Clara CA, US
    Jian Qiao - San Mateo CA, US
    Benjamin Hoan Le - San Jose CA, US
    Joel D. Young - Milpitas CA, US
    Wei Zhuang - Palo Alto CA, US
  • Assignee:
    Microsoft Technology Licensing, LLC - Redmond WA
  • International Classification:
    G06K 9/62
    G06Q 10/06
    G06F 15/18
  • Abstract:
    The disclosed embodiments provide a system for processing data. During operation, the system obtains feature configurations for a set of features. Next, the system obtains, from the feature configurations, an anchor containing metadata for accessing a first feature in an environment and a feature derivation for generating a second feature from the first feature. The system then uses the anchor to retrieve feature values of the first feature from the environment and uses the feature derivation to generate additional feature values of the second feature from the feature values of the first feature. Finally, the system provides the additional feature values for use with one or more machine learning models.

  • Monitoring And Comparing Features Across Environments

    view source
  • US Patent:
    20190325351, Oct 24, 2019
  • Filed:
    Apr 20, 2018
  • Appl. No.:
    15/958999
  • Inventors:
    - Redmond WA, US
    Ruoyang Wang - Palo Alto CA, US
    Ke Wu - Sunnyvale CA, US
    Bee-Chung Chen - San Jose CA, US
    Priyanka Gariba - San Mateo CA, US
  • Assignee:
    Microsoft Technology Licensing, LLC - Redmond WA
  • International Classification:
    G06N 99/00
    G06F 17/30
  • Abstract:
    The disclosed embodiments provide a system for processing data. During operation, the system selects a set of entity keys associated with reference feature values used with one or more machine learning models, wherein the reference feature values are generated in a first environment. Next, the system matches the set of entity keys to feature values from a second environment. The system then compares the feature values and the reference feature values to assess a consistency of a feature across the first and second environments. Finally, the system outputs a result of the assessed consistency for use in managing the feature in the first and second environments.

Facebook

Priyanka Gariba Photo 2

Priyanka Gariba

view source
Priyanka Gariba Photo 3

Priyanka Gariba

view source
Get Report for Priyanka S Gariba from San Francisco, CA, age ~40
Control profile