
ibrahem elhorege
@ibrahemelhorege
I build deployed computer vision and machine learning systems for real-world inspection.
What I'm looking for
I've built and delivered machine learning and computer vision solutions for freelance clients, taking projects from data preprocessing and model training through deployment with Python, TensorFlow, PyTorch, FastAPI, and Gradio.
I trained YOLOv8 for PCB defect detection and deployed it as a FastAPI/Gradio app on Hugging Face Spaces. I also developed real-time drowsiness detection at 30 FPS with 92% precision and 95% recall, and fine-tuned EfficientNet for skin cancer classification in a robotic medical-assistant perception pipeline.
Alongside hands-on development, I've evaluated LLM and multimodal outputs at Outlier, led engineers through an Azure-deployed ML project at DEPI, and taught practical Python programming.
Experience
Work history, roles, and key accomplishments
AI Engineer
Self-Employed
Feb 2024 - Present (2 years 7 months)
Built and delivered ML/computer vision solutions for freelance clients using Python, TensorFlow, and PyTorch, including data preprocessing, model training, and deployment. Developed reusable feature engineering pipelines to accelerate client data preparation.
Education
Degrees, certifications, and relevant coursework
Mansoura University
Master of Science, Computer Science
2025 -
Pursuing a Master of Science in Computer Science, focusing on advanced topics in machine learning and artificial intelligence.
Horus University
Bachelor of Science, Mechatronics Engineering
2019 - 2024
Grade: 3.59/4.0
Earned a Bachelor of Science in Mechatronics Engineering with a CGPA of 3.59/4.0, gaining a strong foundation in robotics and control systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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