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Feras H Karablieh

age ~46

from Bellevue, WA

Also known as:
  • Feras H
  • Feras N
Phone and address:
7391 169Th Pl SE, Bellevue, WA 98006

Feras Karablieh Phones & Addresses

  • 7391 169Th Pl SE, Bellevue, WA 98006
  • 25739 SE 40Th St, Issaquah, WA 98029 • 425 961-0391
  • Sammamish, WA
  • Seattle, WA
  • Rowland Heights, CA
  • Tempe, AZ
  • Rowland Heights, CA
  • Kiona, WA

Work

  • Company:
    Groupon
    Jun 2013
  • Address:
    Greater Seattle Area
  • Position:
    Director of product management - user generated content

Education

  • Degree:
    PHD
  • School / High School:
    Arizona State University
    1999 to 2005
  • Specialities:
    Computer Science

Skills

Software Development • Distributed Systems • Scalability • Software Engineering • Product Management • Agile Methodologies • Web Services • Scrum • Java • Amazon Web Services • Perl • Object Oriented Design • Ruby • Cloud Computing • Project Planning • Project Management • Team Leadership • Mapreduce • Xml • Hadoop • Algorithms • Machine Learning • Amazon Ec2 • C++

Languages

English

Industries

Internet

Us Patents

  • System And Method For Programmatic Generation Of Attribute Descriptors

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  • US Patent:
    20220382794, Dec 1, 2022
  • Filed:
    Jun 14, 2022
  • Appl. No.:
    17/839575
  • Inventors:
    - Chicago IL, US
    Jonathan Esterhazy - San Francisco CA, US
    Dor Levi - San Francisco CA, US
    Amit Koren - Chicago IL, US
    Daniel Langdon - Las Condes, CL
    Bhupesh Bansal - Sunnyvale CA, US
    Feras Karablieh - Issaquah WA, US
    Hernan Enrique Arroyo Garcia - Mountain View CA, US
    Srinivasa Raghavan Vedanarayanan - Sunnyvale CA, US
    Shawn Ryan Jeffery - Chicago IL, US
    Francisco Jose Larrain - Palo Alto CA, US
  • International Classification:
    G06F 16/35
    G06F 40/40
    G06F 40/232
  • Abstract:
    Embodiments provide an apparatus, method and computer program product for generating validated attribute descriptors related to natural language processing. Natural language processing is performed to determine a set of attribute descriptors associated with textual information. An attribute descriptor cleaning process is then performed with respect to the set of attribute descriptors to determine a subset of attribute descriptors. Each attribute descriptor of the subset of attribute descriptors is compared to an attribute descriptor record to identify one or more common attribute descriptors. Additionally, a validated list of attribute descriptors is generated by removing the one or more common attribute descriptors from the subset of attribute descriptors.
  • Method And System For Programmatic Analysis Of Consumer Reviews

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  • US Patent:
    20210256574, Aug 19, 2021
  • Filed:
    Dec 23, 2020
  • Appl. No.:
    17/132915
  • Inventors:
    - Chicago IL, US
    Francisco Jose LARRAIN - Palo Alto CA, US
    Hernan Enrique ARROYO GARCIA - Mountain View CA, US
    Juzheng LI - Fremont CA, US
    Daniel LANGDON - Las Condes, CL
    Jonathan ESTERHAZY - San Francisco CA, US
    Srinivasa Raghavan VEDANARAYANAN - Sunnyvale CA, US
    Shawn JEFFERY - Burlingame CA, US
    Feras KARABLIEH - Issaquah WA, US
    Bhupesh BANSAL - Sunnyvale CA, US
    Dor LEVI - San Francisco CA, US
    Amit KOREN - Chicago IL, US
  • International Classification:
    G06Q 30/02
    G06N 20/00
    G06F 16/951
    G06F 16/2455
    G06F 16/2457
  • Abstract:
    Embodiments provide a computer-executable method, computer system and non-transitory computer-readable medium for programmatically analyzing a consumer review. The method includes programmatically accessing, via a network device, one or more consumer reviews for a commercial entity or a commercial object. The method also includes executing a consumer review processing engine to programmatically identify an attribute descriptor in the one or more consumer reviews, and executing the consumer review processing engine to programmatically generate a sentiment score associated with the one or more consumer reviews. The method further includes storing, on a non-transitory computer-readable storage device, the attribute descriptor and the sentiment score in association with the commercial entity or the commercial object.
  • Apparatus, Method, And Computer Program Product For Generating Promotion Request Data

    view source
  • US Patent:
    20210019784, Jan 21, 2021
  • Filed:
    Jun 24, 2020
  • Appl. No.:
    16/946499
  • Inventors:
    - Chicago IL, US
    Daniel ROARTY - Chicago IL, US
    Matthew Joseph HANSON - Chicago IL, US
    Zachary FINLEY - Chicago IL, US
    David William KUNST - Chicago IL, US
    Feras KARABLIEH - Issaquah WA, US
  • International Classification:
    G06Q 30/02
  • Abstract:
    Systems, apparatus, and methods for effectively allowing consumers to request promotions from a merchant are discussed herein. Some embodiments may provide for a networked device, apparatus, or server configured to: in response to determining that a merchant device is not associated with at least one available promotion, determine, via a processor, a promotion request threshold value indicating a required number of promotion requests for generating a promotion associated with the merchant device; receive a plurality of promotion requests from a plurality of consumer devices via the network; calculate, via the processor, a promotion request count associated with the plurality of promotion requests; and in response to determining that the promotion request count satisfies the promotion request threshold value, generate a promotion offer request indicating a request to generate the promotion.
  • Method And System For Programmatic Analysis Of Consumer Reviews

    view source
  • US Patent:
    20180174203, Jun 21, 2018
  • Filed:
    Jul 25, 2017
  • Appl. No.:
    15/659138
  • Inventors:
    - Chicago IL, US
    Francisco Jose Larrain - Palo Alto CA, US
    Hernan Enrique Arroyo Garcia - Mountain View CA, US
    Juzheng Li - Fremont CA, US
    Daniel Langdon - Las Condes, CL
    Jonathan Esterhazy - San Francisco CA, US
    Srinivasa Raghavan Vedanarayanan - Sunnyvale CA, US
    Shawn Jeffery - Burlingame CA, US
    Feras Karablieh - Issaquah WA, US
    Bhupesh Bansal - Sunnyvale CA, US
    Dor Levi - San Francisco CA, US
    Amit Koren - Chicago IL, US
  • International Classification:
    G06Q 30/02
    G06N 99/00
    G06F 17/30
  • Abstract:
    Embodiments provide a computer-executable method, computer system and non-transitory computer-readable medium for programmatically analyzing a consumer review. The method includes programmatically accessing, via a network device, one or more consumer reviews for a commercial entity or a commercial object. The method also includes executing a consumer review processing engine to programmatically identify an attribute descriptor in the one or more consumer reviews, and executing the consumer review processing engine to programmatically generate a sentiment score associated with the one or more consumer reviews. The method further includes storing, on a non-transitory computer-readable storage device, the attribute descriptor and the sentiment score in association with the commercial entity or the commercial object.
  • Method And System For Programmatic Analysis Of Consumer Reviews

    view source
  • US Patent:
    20160275573, Sep 22, 2016
  • Filed:
    Mar 17, 2016
  • Appl. No.:
    15/073486
  • Inventors:
    - Chicago IL, US
    Francisco Jose Larrain - Palo Alto CA, US
    Hernan Enrique Arroyo Garcia - Mountain View CA, US
    Juzheng Li - Fremont CA, US
    Daniel Langdon - Las Condes, CL
    Jonathan Esterhazy - San Francisco CA, US
    Srinivasa Raghavan Vedanarayanan - Sunnyvale CA, US
    Shawn Jeffery - Burlingame CA, US
    Feras Karablieh - Issaquah WA, US
    Bhupesh Bansal - Sunnyvale CA, US
    Dor Levi - San Francisco CA, US
    Amit Koren - Chicago IL, US
  • International Classification:
    G06Q 30/02
    G06N 99/00
    G06F 17/30
  • Abstract:
    Embodiments provide a computer-executable method, computer system and non-transitory computer-readable medium for programmatically analyzing a consumer review. The method includes programmatically accessing, via a network device, one or more consumer reviews for a commercial entity or a commercial object. The method also includes executing a consumer review processing engine to programmatically identify an attribute descriptor in the one or more consumer reviews, and executing the consumer review processing engine to programmatically generate a sentiment score associated with the one or more consumer reviews. The method further includes storing, on a non-transitory computer-readable storage device, the attribute descriptor and the sentiment score in association with the commercial entity or the commercial object.

Resumes

Feras Karablieh Photo 1

Senior Director Of Engineering - Global Marketing Technology

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Location:
Issaquah, WA
Industry:
Internet
Work:
Groupon - Greater Seattle Area since Jun 2013
Director of Product Management - User Generated Content

Amazon - Greater Seattle Area since Jun 2007
Software Development Manager
Education:
Arizona State University 1999 - 2005
PHD, Computer Science
American University of Beirut 1995 - 1999
Bachelor's degree, Computer Science
Skills:
Software Development
Distributed Systems
Scalability
Software Engineering
Product Management
Agile Methodologies
Web Services
Scrum
Java
Amazon Web Services
Perl
Object Oriented Design
Ruby
Cloud Computing
Project Planning
Project Management
Team Leadership
Mapreduce
Xml
Hadoop
Algorithms
Machine Learning
Amazon Ec2
C++
Languages:
English

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