Data Science & Artificial Intelligence Student @ Zewail City of Science & Technology
I build AI systems that bridge research and deployment — transforming machine learning ideas into production-oriented applications.
My work spans information retrieval, NLP, computer vision, explainable AI, and scalable ML systems, with emphasis on building practical solutions grounded in solid engineering principles.
- Semantic Search Systems
- BERT / RoBERTa Models
- Retrieval-Augmented Pipelines
- Resume Intelligence Systems
- Search Ranking & Recommendation
- Object Detection
- Multi-Object Tracking
- Explainable Vision Systems
- Medical Imaging AI
- YOLO-based Applications
- SHAP
- LIME
- Grad-CAM
- Model Interpretability
- Bias Analysis
- REST APIs
- Backend Development
- Docker Deployment
- ML Pipelines
- Intelligent Automation Systems
Python · YOLOv8 · ByteTrack · OpenCV
Computer vision pipeline for automatic bowling pin detection and score tracking from video streams.
Highlights:
- Fine-tuned YOLOv8s detector
- Multi-object tracking using ByteTrack
- Pin-fall detection heuristics
- Real-time annotated outputs
- Video analytics pipeline
Repository: Bowling-Pin-Detection-Fall-Tracking
RoBERTa · NLP · Streamlit
AI recruitment pipeline featuring:
- Resume classification (>80% accuracy)
- TF-IDF retrieval
- Cosine similarity ranking
- Interactive evaluation dashboard
PyTorch · TensorFlow · XAI
Multi-label disease classification using ChestXray14.
Methods:
- DenseNet / ResNet
- Grad-CAM
- SHAP
- LIME
Performance:
ROC-AUC: 0.806
Repository: XAI-Chest-Xray
Flask · PostgreSQL · Elasticsearch · Docker
Backend architecture featuring:
- REST APIs
- Clean Architecture
- Search infrastructure
- Automated testing
- Containerized deployment
Midrar Marketing Agency
Responsibilities:
- AI chatbot optimization
- Business workflow automation
- Make & Zapier integrations
- AI-powered reporting pipelines
- Marketing process automation
Python · SQL · C++
PyTorch · TensorFlow · Scikit-learn · OpenCV
Flask · REST APIs · PostgreSQL · Elasticsearch
Docker · Git · Jupyter · Linux
🏆 2nd Place — University Hackathon
🏛️ Top 23 / 100+ Teams — GEM Hackathon
Project: GEET — AI-Powered Smart Museum Ecosystem
Building AI systems from research ideas to production-ready applications.