Ahmed E.

Machine Learning Engineer

Ahmed is a results-driven Machine Learning/Computer Vision Engineer with over 5 years of experience, known for designing and deploying innovative solutions.

He specializes in creating advanced algorithms for various computer vision applications and optimizing models for real-world use.

His career has spanned diverse industries, including sports and automotive, demonstrating his adaptability and versatility. One of his notable achievements is successfully implementing neural networks from scratch using C++ and CUDA, highlighting his technical expertise and commitment to innovation.

Ahmed's accomplishments include securing the second position in the IEEEXtream 12.0 competition. Additionally, he harbors a keen interest in exploring opportunities within the medical sector.

Main expertise
  • Computer Vision 5 years
  • TensorFlow
    TensorFlow 3 years
  • PyTorch 5 years
Other skills
  • Openvino
    Openvino 2 years
  • MLOps 2 years
  • Jenkins
    Jenkins 2 years
Ahmed
Ahmed E.

Egypt

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Selected experience

Employment

  • Machine Learning / Computer Vision Engineer

    Tahaluf Al Emarat Technical Solutions - 3 years 6 months

    • Optimizing machine learning models and developing an optimized C++ framework for deploying machine learning applications on edge devices and in the cloud.
    • Collaborating on various computer vision projects in the automotive industry, including the Autonomous Driver Assistance system, City Anomaly Monitoring System, and Violation Alert Parking System.
    • Utilizing a wide range of tools, including Python, C++, TensorRT, CUDA, CMake, PyTorch, TensorFlow, NumPy, Docker, OpenCV, Git, and CI/CD with Jenkins.

    Technologies:

    • Technologies:
    • TensorFlow TensorFlow
    • PyTorch
    • C++ C++
    • Cuda Cuda
    • Python Python
    • Docker Docker
    • NumPy NumPy
    • OpenCV OpenCV
    • Jenkins Jenkins
  • Machine Learning / Computer Vision Engineer

    StarkBits - 11 months

    • Developed object detection and tracking systems for surveillance content analysis to enhance security measures.
    • Utilized tools such as Python, C++, CMake, PyTorch, TensorFlow, NumPy, Docker, OpenCV, Git, Jira, Google Cloud, CI/CD, and Jenkins.

    Technologies:

    • Technologies:
    • TensorFlow TensorFlow
    • PyTorch
    • C++ C++
    • Python Python
    • Docker Docker
    • NumPy NumPy
    • OpenCV OpenCV
    • Jenkins Jenkins
  • Machine Learning / Computer Vision Engineer

    The D. GmbH - 10 months

    • Contributed to Video Content Analysis for football videos, which included Object Detection, Tracking, and Action Recognition for players, balls, and body joints.
    • Utilized a variety of tools and technologies, including Python, C++, TensorFlow, NumPy, Docker, OpenCV, Git, Jira, and AWS.

    Technologies:

    • Technologies:
    • TensorFlow TensorFlow
    • C++ C++
    • Python Python
    • Docker Docker
    • NumPy NumPy
    • OpenCV OpenCV

Education

  • BSc.BSc Computer Engineering

    El-Azhar University · 2015 - 2020

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