🎓 AI Engineering Student at ENSIAS (National Higher School of Computer Science and Systems Analysis)
💡 Passionate about Machine Learning, Deep Learning, Computer Vision, NLP, AI Agents, and MLOps
🚀 I build intelligent systems that combine cutting-edge research with practical deployment
- Languages: Python, Java, C/C++, Flutter (Dart), SQL, CUDA
- Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers, NLTK
- Tools: Docker, Kafka, Airflow, Firebase, Flask, Django, Arduino, Raspberry Pi
- MLOps: CI/CD, Data/Training/Inference Pipelines, Monitoring, ETL
- Concepts: RAG, NLP, LLMs, HMMs, MDPs, Optimization, AI Agents
A mobile app for intelligent image search and auto-categorization using vision, language, and audio models.
- Built with Flutter & Firebase
- MLOps: data pipelines, model training, CI/CD, monitoring
- Multimodal AI integration using end-to-end pipelines
- Web-scraped article data + prompt engineering for dataset creation
- Fine-tuned LLMs with Hugging Face
- Deployed using Django + FAISS (RAG for semantic search)
- Compared HMMs, RNNs, LSTMs, and BERT-based models
- Trained on a curated subset of the Tashkeela corpus
- Focused on accurate restoration of Arabic short vowels for TTS and readability
- Implemented text-to-3D GAN with differentiable rendering
- Built a distributed training pipeline using Objaverse and Cap3D
- Output: multiview 2D renderings of arbitrary topology meshes
- 🥇 1st Prize – Huawei National ICT Cloud Track Competition (2025)
Designed and optimized full-stack cloud infrastructure under strict time constraints - 🧠 Huawei Certified in AI & Cloud:
- HCIA-AI V3.5
- HCIP-AI-EI Developer V2.0
- HCIA-Cloud Service V3.5
📌 I’m open to AI application/research internships, MLOps engineering roles, AI Agent or any opportunity where applied AI meets impact. Let's build something intelligent together.