🧠 AI / Machine Learning & Deep Learning Engineer focused on building end-to-end intelligent systems, training complex architectures, and optimizing neural networks.
🔬 Specialized in Computer Vision (CV), Deep Neural Networks (DNNs), and Natural Language Processing (NLP).
📈 Expert in Data Engineering, Statistical Analysis, Hyperparameter Tuning, and converting messy raw data into highly accurate predictive models.
⚙️ Passionate about MLOps—not just training models in notebooks, but deploying, monitoring, and scaling them efficiently.
🛠️ A rare hybrid who can build heavy mathematical ML models and craft interactive dashboards or web integration for them.
🌱 Currently exploring Generative AI architectures, Large Language Model (LLM) fine-tuning, and Advanced MLOps.
💬 Ask me about Gradient Descent, Overfitting strategies, Backpropagation, or Model Quantization.
📫 Let's collaborate: youssebakir19@gmail.com
| 🧰 Project Name | 🎯 Domain | 🛠️ Tech Stack | 📈 Status |
| 🤖 Deep Learning / Computer Vision System | Computer Vision / DL | Python PyTorch OpenCV |
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| 📊 End-to-End Predictive Analytics Pipeline | Machine Learning | Scikit-Learn Pandas Docker |
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| 🌐 DEPI Courses Platform (Frontend) | Web/UI Core | React.js Tailwind Redux |
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| 🏭 Clothes Factory Management System | Full-Stack / Management | React.js Node.js Database |
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- 👁️ Computer Vision: Custom CNNs, Object Detection (YOLO), Semantic Segmentation, and Image Processing.
- 📝 Natural Language Processing: Transformers, Text Tokenization, Sentiment Classifiers, and Embeddings.
- 🧠 Deep Learning: Architecture design, custom loss functions, and overcoming vanishing/exploding gradients.
- 📦 MLOps & Deployment: Containerizing models with Docker and creating APIs for web consumption.
- 📉 Statistical Modeling: Advanced regression, classification, feature selection, and data visualization.
"Optimizing weights, minimizing loss, and engineering intelligence—one epoch at a time."
⭐️ From Youssef Bakir — AI & Deep Learning Engineer