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mohamed-reda/README.md

Mohamed Reda - AI Engineer

Welcome to my GitHub profile! πŸ‘‹ I'm Mohamed, a dedicated AI Engineer and Machine Learning Engineer with more than 6 years of experience. I specialize in leveraging data-driven insights to solve complex problems and contribute to meaningful projects.

About Me

  • πŸ€– Passionate about Machine Learning, Generative AI, and LLMs.
  • πŸ“Š Proficient in Python, NumPy, Pandas, Langchain, scikit-learn, and TensorFlow.
  • πŸ“ˆ Experienced in AI project development, from ideation to implementation.

My Data Science Journey

Projects

Let's Connect!

Feel free to check out my GitHub repositories for a closer look at my data science and machine learning projects. If you have any questions or ideas for collaboration, I'm eager to connect!

Coding

Top Langs

Happy coding! πŸš€

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  1. Template_for_Retrieval_ChatEngine_Patterns Template_for_Retrieval_ChatEngine_Patterns Public

    Progressive LlamaIndex reference implementations covering retrieval-augmented generation and conversational patterns, from simple chat engines to fully customized RAG pipelines.

    Python

  2. Stateless_RAG_Pipeline_for_Unstructured_Text Stateless_RAG_Pipeline_for_Unstructured_Text Public

    A stateless, local RAG pipeline that answers natural-language questions over unstructured text files using LlamaIndex and LM Studio.

    Python

  3. semantic_document_querying_with_llamaindex_and_vector_indexing semantic_document_querying_with_llamaindex_and_vector_indexing Public

    This repo features four projects showcasing semantic document querying, vector indexing, and conversational AI using LlamaIndex and ChromaDB. It highlights document retrieval, math expression evalu…

    Python

  4. Floral_Design_Recommendations_with_ChromaDB_and_Falcon-7B Floral_Design_Recommendations_with_ChromaDB_and_Falcon-7B Public

    This project leverages advanced AI tools and vector database to provide design suggestions based on floral images and user

    Jupyter Notebook

  5. Advanced_Data_Preprocess_with_Best_Practices Advanced_Data_Preprocess_with_Best_Practices Public

    It contains all code for mastering data cleaning, transformation, and preparation techniques for structured and unstructured data, using Python and best practices to build high quality data pipelines.

    Jupyter Notebook

  6. Natural_Language_Marketing_Assistant Natural_Language_Marketing_Assistant Public

    This repository hosts a tool that utilizes cutting edge language models to assist in marketing content creation, offering customizable age based and task-specific content generation.

    Python