CV – Mhd Taha Daboul

Professional Summary

AI Engineer with a strong background in Machine Learning, Deep Learning, and Computer Vision. Skilled in AI Agent Automation, workflow automation (n8n), and API integration. Passionate about developing intelligent systems that solve real-world problems and presenting projects through storytelling that highlights challenges, approaches, and impact.

Technical Skills

Programming: Python, SQL, JavaScript, C++
Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, Flask
Data & Viz: Pandas, NumPy, Matplotlib, Seaborn, Jupyter
Automation: AI Agents, Workflow Automation (n8n), API Integration, Docker
CV/OCR: Preprocessing, segmentation, OCR (Tesseract), Transfer Learning (VGG16, MobileNet)
Ops: Git/GitHub, CI/CD, Hyperparameter tuning, Early stopping
Languages: Arabic (Native), English (Fluent), French (Basics)

Education

Cairo University — B.Sc. Computer Science (2021–2025)
Focus: Artificial Intelligence, Machine Learning, Computer Vision, Data Science

Certifications

Machine Learning Specialization — Andrew Ng (Coursera)
Convolutional Neural Networks (CNN) — Andrew Ng (Coursera)
Introduction to Data Science — Univ. of Michigan (Coursera)
Applied Data Visualization with Python — Univ. of Michigan
Applied Machine Learning in Python — Univ. of Michigan
Applied Text Mining in Python — Univ. of Michigan
Applied Social Network Analysis in Python — Univ. of Michigan

Professional Experience

Codenza — AI Engineering Intern (Syria)

October 2025 – January 2026 (3 months)

Developed and optimized AI automation workflows, integrating ML/DL models into production-ready systems.
Built and fine-tuned models for computer vision and video generation projects.
Contributed to the "nano banana" project, generating videos using advanced deep learning techniques.
Automated data pipelines and model retraining processes using n8n and Docker, ensuring scalability.
Collaborated with the team to deploy AI solutions and present results to stakeholders.

Projects

AI Educational Assistant – RAG System for STEM Subjects

Interactive platform using Retrieval-Augmented Generation for Biology, Chemistry, Physics, and Mathematics.
- Integrated subject-specific textbooks as knowledge bases; rendered equations with LaTeX (KaTeX).
- Designed dual‑mode web interface: “Ask” for answers, “Test” for AI‑generated quizzes.
- Employed embeddings + vector search for accurate context retrieval.
Pharma Scan App – Handwritten Prescription Recognition

End‑to‑end pipeline to recognize medicine names from handwritten prescriptions.
- OpenCV preprocessing (grayscale, noise removal, adaptive thresholding, segmentation).
- Combined Tesseract OCR with VGG16 CNN classifier (transfer learning) for higher accuracy.
- Added fuzzy matching for alternative suggestions and drug‑interaction alerts.
- Automated ingestion & retraining workflows with n8n; Docker containerization.
🔗 github.com/motaha123/pharama_scan_app
House Price Prediction – Regression Models

Exploratory analysis, feature engineering, and model comparison.
- Built and tuned Linear Regression, Random Forest, XGBoost with cross‑validation.
- Improved accuracy via ensemble methods and hyperparameter optimization.
- Delivered lightweight API and business‑friendly Jupyter notebooks.
🔗 github.com/motaha123/House_price_Advance
AI Agent Automation & Workflow Projects (n8n)

Designed intelligent workflows integrating AI models with live APIs.
- Automated structured JSON responses, model retraining triggers, and data pipelines.
- Used Docker for deployment and versioning.

Soft Skills

Teamwork · Problem‑solving · Critical Thinking · Communication · Adaptability · Time Management