Mhd Taha Daboul

AI Engineer with a B.Sc. in Computer Science from Cairo University (2025), specializing in machine learning, deep learning, and computer vision. Built Grownerd — a full-stack AI educational platform for Syrian students, live at grownerd.net — featuring a RAG system on official textbooks, Flutter web app, Flask backend, Supabase database, and a local payment subscription system. Passionate about production-grade AI that solves real problems, not just notebook experiments.

• 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 — AI-generated video using advanced deep learning techniques.
• Automated data pipelines and model retraining using n8n and Docker for scalability.
• Collaborated on deployment and presented AI results to stakeholders.

• OpenCV preprocessing pipeline: grayscale, noise removal, adaptive thresholding, segmentation.
• VGG16 CNN classifier via transfer learning combined with Tesseract OCR for higher accuracy.
• Fuzzy matching for drug alternative suggestions and interaction alerts.
• n8n automation for ingestion and retraining; Docker containerization.

• Built and tuned Linear Regression, Random Forest, XGBoost with cross-validation.
• Ensemble methods and hyperparameter optimization for improved accuracy.
• Lightweight Flask API + business-friendly Jupyter notebooks.

• Designed intelligent workflows integrating AI models with live APIs, structured JSON responses, and retraining triggers.
• Docker-based deployment and versioning.