Amr Elzanaty
Software Engineer at Netural GmbH- Claim this Profile
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Arabic Native or bilingual proficiency
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English Full professional proficiency
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German Limited working proficiency
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French Limited working proficiency
Topline Score
Bio
Experience
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Netural GmbH
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Austria
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Technology, Information and Internet
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1 - 100 Employee
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Software Engineer
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Mar 2021 - Present
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Cloudflight
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Germany
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IT Services and IT Consulting
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300 - 400 Employee
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Software Engineer & Data scientist
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Nov 2019 - Nov 2020
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Johannes Kepler Universität Linz
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Austria
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Higher Education
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700 & Above Employee
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Master Thesis
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Nov 2018 - Jun 2019
Carried out unsupervised anomaly detection of sensor data for predictive maintenance, for a top automotive company. ◦ Conducted research for various anomaly detection techniques for time series data ◦ Using python and keras, implemented a deep LSTM autoencoder neural network that was trained on normal data instances and was able to detect anomalies in time series data. Carried out unsupervised anomaly detection of sensor data for predictive maintenance, for a top automotive company. ◦ Conducted research for various anomaly detection techniques for time series data ◦ Using python and keras, implemented a deep LSTM autoencoder neural network that was trained on normal data instances and was able to detect anomalies in time series data.
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Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
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Germany
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Research Services
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700 & Above Employee
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Intern & Bachelor Student
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Apr 2015 - Sep 2015
Improving data management for SEED (Semantic Text Editor): ◦ Implemented a Data observation algorithm for monitoring changes that occur in the front-end data by using an object observation API in ECMAScript 7. ◦ Using JavaScript, designed a semantic auto Complete for the Text editor with data cached in the front-end. ◦ Augmented the editor with a push messaging protocol using an external node.js server (broker) to push changes that take place in the server to the front-end of SEED. Improving data management for SEED (Semantic Text Editor): ◦ Implemented a Data observation algorithm for monitoring changes that occur in the front-end data by using an object observation API in ECMAScript 7. ◦ Using JavaScript, designed a semantic auto Complete for the Text editor with data cached in the front-end. ◦ Augmented the editor with a push messaging protocol using an external node.js server (broker) to push changes that take place in the server to the front-end of SEED.
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The German University in Cairo
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Egypt
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Higher Education
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700 & Above Employee
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Developer
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Feb 2014 - Jun 2014
Worked for a university project in cooperation with Delodi AG company that is based in Berlin. The project was an Android application having s Symfony PHP back-end. Entangle is a platform that offers services in return of a virtual currency that can be used to pay for other services provided by the system. Worked for a university project in cooperation with Delodi AG company that is based in Berlin. The project was an Android application having s Symfony PHP back-end. Entangle is a platform that offers services in return of a virtual currency that can be used to pay for other services provided by the system.
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Education
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Johannes Kepler Universität Linz
Master's degree, Computer Science -
The German University in Cairo