Building intelligent systems with deep learning, LLMs, and RAG.
- 🤖 Machine learning engineer with hands-on experience building intelligent systems using deep learning, LLMs, and Retrieval-Augmented Generation (RAG)
- ⚙️ Skilled in deploying end-to-end AI pipelines with PyTorch, TensorFlow, and AWS SageMaker
- 🧠 Track record building smart chatbots, optimizing neural networks, and shipping AI projects in NLP
- 📈 Currently pursuing certifications in Data Science for Marketing Analytics and AWS ML Engineering
- 📖 Currently reading: Deep Learning — Ian Goodfellow, Yoshua Bengio & Aaron Courville
- AI Intern, Huawei ICT Academy — Alexandria
- Introducing Generative AI with AWS, Udacity
- AI Programming Intern, Udacity
- Machine Learning Intern, Neuronetix
- Software Engineering Intern, ALX Africa
Languages: Python · C/C# · JavaScript · HTML · CSS AI/ML Domains: NLP · RAG · CNNs · LLMs · Prompt Engineering Frameworks: PyTorch · TensorFlow · Keras · Transformers · .NET Tools: Hugging Face · FAISS · Gradio · AWS SageMaker Data Science: Pandas · NumPy · Matplotlib · Seaborn
Arabic (Native) · English (Professional)
Learning, building, and deploying — one model at a time.