🎓 Final-year Computer & Communication Engineering student at Université Saint-Joseph (USJ), Beirut.
💡 Interested in Applied Artificial Intelligence, intelligent systems, and automation.
I enjoy building end-to-end AI systems, from data pipelines and machine learning models to full backend services and automation workflows.
In collaboration with Mines Paris – PSL
An applied AI system designed to analyze instructional egocentric videos and generate augmented feedback for instructors and learners.
Key components:
- Computer vision pipeline for hand, finger, and object detection
- Extraction of kinematic motion indicators
- Integration of vision, language, and action representations
- Generation of interactive augmented video overlays
Focus: usability, modular architecture, and real-world applicability.
Machine learning pipeline to predict PM2.5 pollution levels using meteorological and temporal data.
Highlights:
- Exploratory data analysis and feature engineering
- Time-aware train/test splitting
- Models: Random Forest, Gradient Boosting, Linear Regression
- Evaluation using MAE and RMSE
Technologies: Python, Pandas, Scikit-learn
End-to-end pipeline for processing and serving air quality data.
Highlights:
- Data ingestion and transformation
- SQL storage and API access
- Backend services built with FastAPI
Technologies: Python, FastAPI, SQL, Docker
Production-style automation systems integrating AI and enterprise workflows.
Highlights:
- Designed 15+ automation workflows
- Document parsing and metadata extraction
- Integration with enterprise platforms
- Monitoring and error-handling mechanisms
Technologies: n8n, Power Automate, Python
Human detection system using IR-UWB radar signals and machine learning models.
Highlights:
- Processing radar signals under low-SNR conditions
- Trained CNN architectures (ResNet-18, AlexNet) and SVM classifiers
- Evaluated detection accuracy in industrial environments
Note: code is currently under supervision and not publicly available.
Designed and deployed production-grade automation systems integrating AI components.
Key work:
- Expense reimbursement automation platform
- PDF parsing and metadata extraction
- Enterprise workflow integration
- Monitoring and reliability improvements
Developed AI-powered systems for document processing and medical chatbot automation.
Key work:
- WhatsApp chatbot for appointment management
- Document embedding and classification pipelines
- AI-assisted tender compliance analysis
Worked on backend and frontend systems in an Agile environment.
Technologies:
- ASP.NET Web API
- Angular
- REST services
Programming
Python • C++ • Java • C# • MATLAB • SQL
Artificial Intelligence & ML
Supervised Learning • Random Forest • Gradient Boosting • CNN • SVM
Computer Vision
Video processing • Hand/Object detection • Feature extraction
Backend & Data Engineering
FastAPI • REST APIs • ETL pipelines • SQLite • Pandas
Automation Systems
n8n • Power Automate • Workflow orchestration
Tools
Docker • Git • Linux • Windows • macOS
English • French • Arabic
Email: aliazzam2003@icloud.com
LinkedIn: https://www.linkedin.com/in/ali-azzam2003
GitHub: https://github.com/Aly-Azzam