I am an AI and Data Science Engineering student at ENSAM Rabat, passionate about building intelligent, scalable, and human-centered AI systems. My interests include AI engineering, large language models, and multimodal systems. I am highly motivated to contribute to projects, collaborate with teams, and learn through hands-on development.
- Python
- PyTorch
- scikit-learn
- NumPy
- Pandas
- LangChain
- FastAPI
- ChromaDB
- Vector Databases
- CLIP
- CNNs
- OCR (Tesseract)
- JavaScript
- Streamlit
- Docker
- PostgreSQL
- SQLite
- Developed an agentic RAG system using LangGraph and ChromaDB
- Implemented semantic intent analysis and personalized ranking
- Built a FastAPI backend for low-latency inference
- Created an ML pipeline using Gradient Boosting
- Engineered time-series features
- Achieved high performance on imbalanced clinical datasets
- Developed a search engine using CLIP and OCR
- Implemented hybrid search: metadata and vector similarity
- Built an interactive dashboard with Streamlit
- Built a multimodal semantic search engine
- Developed OCR pipelines and vector-based retrieval
- Deployed exploration dashboards for large datasets
- Led the technical roadmap
- Co-organized the CURSOR Meet-up (190+ participants)
📍 Rabat, Morocco 🇲🇦
⭐ Always open to collaboration, research ideas, and impactful AI projects.