- AI Engineer with experience in Generative AI, RAG, NLP, CV and production ML.
- 🎓 B.Sc. Computer Science (Ain Shams / UEL) — focus on AI & NLP.
- ✉️ mohamedsamyy02@gmail.com · LinkedIn · Kaggle
- Building retrieval-augmented systems and production LLM helpers
- Speech & video analysis pipelines (Pronunciation & Interview Analysis)
- Deploying efficient models with reproducible MLOps
- Video-Interview-Analysis — Pre-Recorded Video Interview Analysis (graduation project).
- Lung-Tumor-Detection-and-Segmentation — Medical image detection & segmentation.
- RAG-App — Streamlit RAG demo with ChromaDB & LLM integration.
- Grapevines-Species-Classification-Project — Leaf species classification.
- Emotion-Detection — Emotion detection from tweets.
Languages: Python · C++ · Java · SQL · JavaScript · C#
ML / DL: PyTorch · TensorFlow · Hugging Face · LangChain · LangGraph · ChromaDB
Infra: Docker · FastAPI · Streamlit · PostgreSQL · Git · GitHub Actions
- "RAG-Enhanced Question Answering for Islamic Studies by Integrating Semantic Retrieval with Generative Reasoning" — 87% accuracy, ranked 5th in QIAS 2025 shared task Paper.
- Email: mohamedsamyy02@gmail.com
- LinkedIn: Mohamed Samy
- GitHub: Mohamed Samy
