Ahmed Zahran
Natural Language Processing Engineer at Agolo- Claim this Profile
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Arabic Native or bilingual proficiency
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English Full professional proficiency
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Bio
Experience
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Agolo
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United States
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Software Development
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1 - 100 Employee
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Natural Language Processing Engineer
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Nov 2020 - Present
Working on text summarization technology. Working on text summarization technology.
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Dataplus Information Systems
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Egypt
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Software Development
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1 - 100 Employee
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Data Scientist
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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.
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Cairo University
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Egypt
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Higher Education
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700 & Above Employee
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Research Assistant
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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.
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Google Summer of Code Student
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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.
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RDI
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Egypt
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Technology, Information and Internet
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1 - 100 Employee
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Researcher
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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#.
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Education
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Cairo University
Master of Science - MS, Computer Science -
Udacity
Nanodegree, Deep Learning -
Cairo University
Bachelor’s Degree, Computer Engineering