Ahmed E.
Machine Learning Engineer
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 Vision5 years
TensorFlow3 years
PyTorch5 years
C++3 yearsExperience7
Machine Learning / Computer Vision Engineer
- 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
- 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.
TensorFlow
NumPy
OpenCVPyTorch
CudaMachine Learning / Computer Vision Engineer
- 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
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Developed Object Detection and Tracking systems for surveillance content analysis to enhance security measures;
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Employed tools like Python, C++, CMake, PyTorch, TensorFlow, NumPy, Docker, OpenCV, Git, Jira, GCloud, CI/CD, and Jenkins.
TensorFlowNumPyOpenCVPyTorchMachine Learning / Computer Vision Engineer
Machine Learning/Computer Vision Engineer
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Contributed to Video Content Analysis for football videos, encompassing Object Detection, Tracking, and Action Recognition for players, balls, and body joints;
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Utilized Python, C++, TensorFlow, NumPy, Docker, OpenCV, Git, Jira, and AWS.
TensorFlowNumPyOpenCV
Machine Learning/Computer Vision Engineer
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Addressed Security Video Surveillance issues, implementing Object Classification and Detection using Deep Learning and Computer Vision techniques;
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Employed Python, OpenCV, TensorFlow, and Git.
TensorFlowOpenCVEngineering excellence
All Machine Learning Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Machine Learning Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Ahmed stands.
Score 183 · Top 13% of engineers
Education
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