Ahmed Zahran

Natural Language Processing Engineer at Agolo
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Contact Information
us****@****om
(386) 825-5501
Location
EG
Languages
  • Arabic Native or bilingual proficiency
  • English Full professional proficiency

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Bio

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Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Natural Language Processing Engineer
      • Nov 2020 - Present

      Working on text summarization technology. Working on text summarization technology.

    • Egypt
    • Software Development
    • 1 - 100 Employee
    • Data Scientist
      • Mar 2019 - Nov 2020

      Built interactive dashboards and workflows for ETL and predictive analytics using Tableau and Alteryx. Built interactive dashboards and workflows for ETL and predictive analytics using Tableau and Alteryx.

    • Egypt
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Nov 2017 - Nov 2018

      Working on project Senteech, a collaborative project with Datalplus.me. Senteech assists customer service quality teams through locating calls that include angry speakers, using speech emotion classification. The principal investigator for Senteech is Professor Mohammed Nafie. Working on project Senteech, a collaborative project with Datalplus.me. Senteech assists customer service quality teams through locating calls that include angry speakers, using speech emotion classification. The principal investigator for Senteech is Professor Mohammed Nafie.

    • Google Summer of Code Student
      • Apr 2018 - Aug 2018

      Worked on two projects involving Arabic speech processing: 1- An Arabic speech recognition system for broadcast speech data. Tools used: Kaldi and VariKN. 2- An Arabic dialect identification system. Tools used: Kaldi, Scikit-learn and Keras. My mentors were Professor Mark Turner from Case Western Reserve University, Professor Ahmed Abdel-Fattah from Ain Shams University, and Michael Pacchioli. Worked on two projects involving Arabic speech processing: 1- An Arabic speech recognition system for broadcast speech data. Tools used: Kaldi and VariKN. 2- An Arabic dialect identification system. Tools used: Kaldi, Scikit-learn and Keras. My mentors were Professor Mark Turner from Case Western Reserve University, Professor Ahmed Abdel-Fattah from Ain Shams University, and Michael Pacchioli.

    • Egypt
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Researcher
      • Sep 2016 - Jul 2017

      Worked on project Hafss, a speech verification system for teaching the Hafss recitation method of the Holy Quran. Introduced improvements to the system’s recognition accuracy through increasing the size of the training data. Other contributions included developing .NET toolkits for the linguistics and data entry team, fixing bugs in the lattice generation toolkit and writing various scripts to facilitate the experimentation process. Tools used: Kaldi, C++, Python and C#. Worked on project Hafss, a speech verification system for teaching the Hafss recitation method of the Holy Quran. Introduced improvements to the system’s recognition accuracy through increasing the size of the training data. Other contributions included developing .NET toolkits for the linguistics and data entry team, fixing bugs in the lattice generation toolkit and writing various scripts to facilitate the experimentation process. Tools used: Kaldi, C++, Python and C#.

Education

  • Cairo University
    Master of Science - MS, Computer Science
    2017 -
  • Udacity
    Nanodegree, Deep Learning
    2018 - 2018
  • Cairo University
    Bachelor’s Degree, Computer Engineering
    2012 - 2016

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