
Omar Shaaban Rabea
Computer Vision Engineer at worldquant university
Cairo, EgyptWork Experience
Computer Vision EngineerInternship
worldquant university
Sep 2024 - Present -9 months
United States
- Job Details:• Designed and trained a convolutional neural network (CNN) to classify images of crop diseases in Uganda, achieving high accuracy in disease detection and identification. • Built and deployed an object detection model to monitor and analyze traffic flow in Dhaka, Bangladesh, utilizing real-time video data. • Developed and implemented face detection and recognition models for video interviews, including identification of Indian Olympic boxer Mary Kom. • Utilized neural networks to generate diverse medical images for research and diagnostic purposes. • Created and deployed a meme generator app using Stable Diffusion and Streamlit, tailored for social media marketing in the United States.
Education
Bachelor's Degree in computer enginnering
benhaJan 2019 - Jan 2024 - 5 yr
Languages
English
AdvancedGerman
Beginner
Training & Certifications
PyTorch for Deep Learning Bootcamp
Udemy·2024PyTorch for Deep Learning Bootcamp
2024Deep Learning Specialization
Coursera·2024Deep Learning Specialization
2024Applied Data ScienceLab
World Quant University·2023Applied Data ScienceLab
2023Machine Learning Specialization
Coursera·2023Machine Learning Specialization
2023