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USD 12 /hr

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Hire Dr. Mohamed R.

Egypt

USD 12 /hr

AI & Computer Vision Engineer | Building Intelligent Vision Systems & Real-World AI Solutions

Profile Summary

I am an AI & Computer Vision Engineer with strong experience in building intelligent systems that leverage deep learning, machine learning, and image processing techniques. My expertise covers a wide range of domains including object detection, image segmentation, medical imaging, plant disease recognition, and real-time computer vision applications. I have worked on several applied research and development projects such as: -TrashNet – Smart Waste Sorting & Recycling Assistant: an AI-powered system for waste classification using deep learning and active learning strategies.- -Brain Tumor Segmentation: custom U-Net architecture in PyTorch for medical image segmentation. -Road Lane Segmentation: deep learning-based solution for autonomous driving systems. -Plant Disease Recognition: building classification pipelines for agriculture using Kaggle datasets. -SmartCrowd – AI-powered Surveillance System: behavior anomaly detection and intelligent reporting using LLMs. In addition, I have been actively working on Reinforcement Learning environments for multi-agent systems, applied in bio-inspired simulations such as Neural Dust behavior modeling. From an educational perspective, I am pursuing a B.Sc. in Computer Science & Information at Mansoura University, with a strong focus on AI, computer vision, and front-end development. I also have a background in data science, and I continuously enhance my skills through hands-on projects, competitions (like Kaggle/Zindi), and research-driven explorations. My technical toolkit includes: -Languages & Frameworks: Python, PyTorch, TensorFlow, OpenCV, Keras -Computer Vision: Object Detection (YOLO, Faster R-CNN), Segmentation (U-Net, Mask R-CNN), Feature Engineering -Machine Learning: Random Forests, Ensemble Models, Predictive Modeling -Other Skills: Data preprocessing, Model optimization, Edge deployment, API development (Flask, FastAPI), Docker I am passionate about developing real-world AI solutions that create tangible impact, whether in healthcare, agriculture, environment, or smart city applications.

Subject Matter Expertise

• ☆ Computer Science
• ☆ Software Engineering
• ☆ Data Analysis
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision

Services

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Work Experience

Student

Mansoura University

October 2022 - Present

Education

MSc. Data Science (graduated with distinction and received the Class Prize)

Mansoura University

October 2022 - Present

Certifications

• Certified Computer Scientist

  Mansoura university

  October 2022 - Present