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mahmoudazizorignal/README.md

Hi 👋! I am Mahmoud Mamdouh

AI Engineer with strong foundations in machine learning and deep learning, experienced in implementing research papers, building end-to-end RAG systems, and deploying production-ready AI applications. Passionate about combining mathematical rigor with practical engineering to build scalable AI systems.


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  1. paper-mirror paper-mirror Public

    RAG assistant with academic paper. Built with fastapi, llamaindex, llamaparse, chromadb, pgvector, google, and openai. Query caching supported.

    Python 1

  2. group-activity-recognition group-activity-recognition Public

    Modern implementation of CVPR16 "Hierarchical Deep Temporal Models for Group Activity Recognition" paper

    Python 5

  3. mahmoudm13/mini-rag mahmoudm13/mini-rag Public

    Mini RAG system built with FastAPI, SQLAlchemy, PGVector, and Qdrant

    Python

  4. youtube-analyst youtube-analyst Public

    AI-powered system for analyzing YouTube trends by combining data scraping, multi-agent analysis, and an interactive web interface.

    Python

  5. udl-solutions udl-solutions Public

    Problems solutions of Understanding Deep Learning Book

    Jupyter Notebook