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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 3 years
- PyTorch 5 years
Other skills
- Openvino 2 years
- MLOps 2 years
- Jenkins 2 years
Selected experience
Employment
Machine Learning / Computer Vision Engineer
Tahaluf Al Emarat Technical Solutions - 4 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.
Machine Learning/Computer Vision Engineer
Tahaluf Al Emarat Technical Solutions - 4 years 6 months
- Leading a small team that is responsible for optimizing machine learning models, and building an optimized C++ framework to deploy machine learning applications on edge devices and on the cloud
- Collaborating on multiple computer vision projects in the automotive industry, including Autonomous Driver Assistance system, City Anomaly Monitoring System and Violation Alert Parking System.
- Utilizing tools such as Python, C++, TensorRT, CUDA, CMake, PyTorch, TensorFlow, NumPy, Docker, OpenCV, Git, CI/CD, and Jenkins.
Technologies:
- Technologies:
TensorFlow
NumPy
OpenCV
PyTorch
Cuda
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.
Machine Learning/Computer Vision Engineer
StarkBits - 11 months
-
Developed Object Detection and Tracking systems for surveillance content analysis to enhance security measures;
-
Employed tools like Python, C++, CMake, PyTorch, TensorFlow, NumPy, Docker, OpenCV, Git, Jira, GCloud, CI/CD, and Jenkins.
Technologies:
- Technologies:
-
TensorFlow
-
NumPy
-
OpenCV
-
PyTorch
-
Machine Learning / Computer Vision Engineer
The D. GmbH - 10 months
Machine Learning/Computer Vision Engineer
The D. GmbH - 10 months
-
Contributed to Video Content Analysis for football videos, encompassing Object Detection, Tracking, and Action Recognition for players, balls, and body joints;
-
Utilized Python, C++, TensorFlow, NumPy, Docker, OpenCV, Git, Jira, and AWS.
Technologies:
- Technologies:
-
TensorFlow
-
NumPy
-
OpenCV
-
Machine Learning/Computer Vision Engineer
MYCORR - 1 year
-
Addressed Security Video Surveillance issues, implementing Object Classification and Detection using Deep Learning and Computer Vision techniques;
-
Employed Python, OpenCV, TensorFlow, and Git.
Technologies:
- Technologies:
-
TensorFlow
-
OpenCV
-
Education
BSc.BSc Computer Engineering
El-Azhar University · 2015 - 2020
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