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Omar Khaled Tag El-Deen

Algorithm Engineer - ADAS (Advanced Driving Assistance Systems) at Valeo

Cairo, Egypt

Work Experience

  • Teaching Assistant - Faculty Of Computer EngineeringPart Time

    Arab Academy for Science, Technology and Maritime Transport

    Feb 2019 - Feb 2020 -1 yr

    Egypt , Cairo

    • Algorithm Engineer - ADAS (Advanced Driving Assistance Systems)Full Time

      Valeo

      Sep 2018 - Present -6 yrs, 9 months

      Egypt , Cairo

      • Job Details:- Development and Maintenance of Slot Detection Algorithms for the latest generation of Park4U®, Valeo's renowned state-of-the-art Parking Assistance System - Responsible of improving and maintaining SW module test environment and SW simulation environments . - Developing testing and visualization tools for automotive software (automatic parking systems) using C++ and QT framework. - Designing and implementing system and component test-cases. - Improving performance of existing algorithms. - Prototyping new ideas and algorithms for LSMS ( Low Speed Maneuvering Systems). - Providing trace analysis for testing/customers. - Full SW cycle responsibility of older versions of several modules for Feature interpretation subsystem. - Supporting many major OEMS such as BMW , Audi ZFAS's project , Daimler ,Renault, PSA group, Ford, and VW.
    • IT internInternship

      Petro Amir Petroleum company

      • Software Developer Freelance / Project

        VIRAL ( Virtual Reality Arcade & Lounge)

        Jun 2017 - Oct 2017 -4 months

        Canada

        • Job Details:Completed Android and UNITY projects contributing to the development of the VR industry
      • Education

        • Bachelor of Science in Computer Engineering in Engineering

          Arab Academy for Science, Technology and Maritime Transport (AAST)

          Jan 2013 - Jan 2018 - 5 yr

        • High School - Thanaweya Amma

          st fatima language school

          Jan 2013 

        Achievements

        **Graduation Project : "3D Object Classification based on Lidar and Camera Fusion " Description : Under the sponsorship of Valeo ,ITIDA and ASRT ,We trained Deep Neural Networks on 2D images and 3D pointcloud to classify between cars , cyclists and pedestrians using tensorflow

        Skills

        • C
        • Matlab
        • Debugging
        • Computer Vision
        • Python
        • TensorFlow
        • OpenCV
        • Linux
        • Android
        • Testing
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        Languages

        • Arabic

          Fluent
        • English

          Advanced

        Training & Certifications

        • Computer Vision Nanodegree

          Udacity·2020
        • Embedded systems Diploma

          AMIT·2017
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