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  • Systems and Biomedical Engineering Dept. | Facutly of Engineering | Cairo University
  • Cairo, Egypt
  • LinkedIn in/omarshaban02

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omarshaban02/README.md

Welcome to Omar Shaban's GitHub Profile

AI & Machine Learning Engineer
Systems & Biomedical Engineering Graduate – Cairo University



About Me

  • AI & Machine Learning Engineer with a strong background in Biomedical Engineering
  • Fresh graduate from Systems and Biomedical Engineering, Cairo University
  • Passionate about applying AI to healthcare and biomedical challenges
  • Experienced in building end-to-end AI systems: from data processing and model training to deployment
  • You can reach me via email at omar.an.shaban@gmail.com
  • More details in my CV

Current Focus

  • Developing AI-driven biomedical systems
  • Computer Vision, Multimodal AI, and LLMs
  • Exploring research-oriented AI with real-world clinical relevance

Featured Project

Multimodal AI-based Detection and Tracking of Autistic Behavioral & Communication Patterns

  • Video-based stereotypical behavior detection using MViT + Detectron2
  • Audio & audiovisual reasoning with Whisper + Vision-Language Models
  • Gaze and emotion tracking using MediaPipe & DeepFace
  • Graphomotor and drawing analysis using CNNs & classical ML
  • Screening using Q-CHAT-based ensemble learning
  • Full-stack system using Django + Next.js + Dockerized microservices

A complete AI-powered screening framework combining video, audio, and behavioral signals for healthcare applications.


Key Strengths

  • Strong foundation in AI, ML, and Medical Imaging
  • Experience with large deep learning models and limited hardware
  • Research-oriented mindset with applied engineering skills
  • Comfortable with model deployment and production pipelines
  • Ability to bridge engineering, AI, and biomedical domains

Tech Stack

Languages

Python C++ C

AI / Machine Learning

PyTorch scikit-learn OpenCV NumPy Pandas SciPy Matplotlib

Backend & Deployment

Django FastAPI Docker MySQL Bash

Tools & Platforms

Git GitHub VS Code Jupyter

Embedded & Hardware

Arduino


Connect With Me


Open to: AI Engineer • Machine Learning Engineer • Research Assistant roles
Interested in: Healthcare AI, Multimodal Learning, Medical Imaging, LLMs

Pinned Loading

  1. Tech-Turtles-Autism/.github Tech-Turtles-Autism/.github Public

  2. Face-Recognition-Flask-App Face-Recognition-Flask-App Public

    A simple web-based application for real-time face detection and recognition using MTCNN (for face localization) and InceptionResnetV1 (for embedding extraction).

    Jupyter Notebook

  3. face_matching_age_estimation face_matching_age_estimation Public

    A comprehensive PySide6-based GUI application for face detection, comparison, and age estimation using MediaPipe BlazeFace and CORN (Cumulative Ordinal Regression Networks) deep learning model.

    Python

  4. clothing-segmentation clothing-segmentation Public

    a deep learning pipeline for human parsing and clothing segmentation using DeepLabV3 with a ResNet-101 backbone

    Jupyter Notebook

  5. cassava-disease-classification cassava-disease-classification Public

    Cassava leaf disease classification using ResNet50, EfficientNet-B0, and Vision Transformer (ViT) with PyTorch. Includes data augmentation, fine-tuning, and performance comparison.

    Jupyter Notebook

  6. BCI-Eye-Blinking BCI-Eye-Blinking Public

    Jupyter Notebook