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Mohamed-samy2/README.md

👋 Mohamed Samy — AI Engineer

AI Engineer • NLP & CV • RAG • LLMs • Production ML

Profile Views Followers Stars


💡 About Me

  • 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

🔭 Current Focus

  • Building retrieval-augmented systems and production LLM helpers
  • Speech & video analysis pipelines (Pronunciation & Interview Analysis)
  • Deploying efficient models with reproducible MLOps

📁 Featured Repositories


📊 GitHub Stats

GitHub Stats GitHub Streak


🛠️ Tech & Tools

Languages: Python · C++ · Java · SQL · JavaScript · C#

ML / DL: PyTorch · TensorFlow · Hugging Face · LangChain · LangGraph · ChromaDB

Infra: Docker · FastAPI · Streamlit · PostgreSQL · Git · GitHub Actions


🎯 Publications & Results

  • "RAG-Enhanced Question Answering for Islamic Studies by Integrating Semantic Retrieval with Generative Reasoning" — 87% accuracy, ranked 5th in QIAS 2025 shared task Paper.

📫 Contact

Pinned Loading

  1. Video-Interview-Analysis Video-Interview-Analysis Public

    PRVIA is an AI-powered system that automates the evaluation of pre-recorded job interviews

    JavaScript 7 2

  2. AutoLLMOps-Pipeline AutoLLMOps-Pipeline Public

    This repository implements an end-to-end pipeline to collect domain-specific data from the web, convert it into QA-style training records, fine-tune a small language model

    Python

  3. RAG-App RAG-App Public

    This Streamlit-based Retrieval-Augmented Generation (RAG) app processes uploaded documents, retrieves relevant content for user queries, and provides accurate responses using a Large Language Model…

    Python

  4. Arabic-Islamic-Assessment Arabic-Islamic-Assessment Public

    This repository implements a compact, efficient Retrieval-Augmented Generation (RAG) pipeline designed to answer multiple-choice questions in Islamic knowledge

    Python

  5. Grapevines-Species-Classification-Project Grapevines-Species-Classification-Project Public

    Developing a deep learning-based classification system capable of accurately identifying Grapevine leaf species from image data.

    Jupyter Notebook 3

  6. Lung-Tumor-Detection-and-Segmentation Lung-Tumor-Detection-and-Segmentation Public

    Jupyter Notebook 2