Omar Daniel Abou Assaf
EXPERTISE
BIO
AI Engineer with hands-on experience in deep learning, computer vision, and NLP. I’ve built AI solutions for healthcare, sentiment analysis, and image classification using CNNs, transformers, and custom models. Passionate about solving real-world problems with data and delivering impactful results through remote collaboration and agile development.
WORK EXPERIENCE
Teacher private
Freelance
February 2023 - Present
EDUCATION
Bachelor's
Arab International University (AIU), May 2024
Information Technology
CERTIFICATIONS
Assessment for Data Analysis and Visualization Foundations
IBM
Issued: 8/13/2024 - Expires: 9/1/2024
Developing AI Applications with Python and Flask
IBM
Issued: 6/20/2024 - Expires: 7/15/2024
PORTFOLIO PROJECTS
Face Mask Detection
Face Mask Detection Using Advanced CNN and Transformer Models In this project, I built a Face Mask Detection System to distinguish between images with and without face masks. Leveraging state-of-the-art architectures like ResNet50, InceptionV3, DenseNet121, and Vision Transformer (ViT), the model was trained and validated on a diverse dataset. Project Highlights: -Model Diversity: Incorporated multiple architectures to compare performance and optimize accuracy. -Data Pipeline: Preprocessed and split data into training, validation, and testing sets, with additional data augmentation for robust model performance. -Real-Time Insights: The system is designed to assist in environments where face mask compliance is essential for public safety. This project demonstrates the application of deep learning to improve public health measures, showcasing AI’s potential in real-world safety compliance.
View Project9/3/2023 -11/14/2023
Deepfake Detection
Built a CNN model using the Xception backbone to detect synthetic faces generated via StyleGAN. Applied data augmentation and evaluated performance using detailed classification metrics. Addressed the challenge of real-time detection of manipulated media.
View Project3/3/2024 -5/7/2024
Autism Spectrum Disorder Detection Using Deep Learning on fMRI Data
I am developing an advanced deep learning model to improve early and objective diagnosis of Autism Spectrum Disorder (ASD) using functional MRI (fMRI) data. Leveraging the Autism Brain Imaging Data Exchange (ABIDE) dataset, this project focuses on optimizing data preprocessing and feature extraction to accurately classify fMRI scans as autistic or neurotypical. The model employs convolutional neural networks (CNNs) and pre-trained models (Xception and Densenet) to analyze functional connectivity patterns in brain scans, with performance metrics including accuracy, precision, recall, and F1-score.
2/2/2025 -4/25/2025
Verified AI Developer
3-5 years of experience
Preferred commitment: Full Time
Languages
Skills
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