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HOSSENkhodadadi/README.md

Hi ๐Ÿ‘‹, I'm Hossein Khodadadi

I am a Data Science Graduate | ๐Ÿค– AI Engineer | ๐Ÿ”ฌ NLP Enthusiast, passionate about building practical ML/DL solutions

You can reach me through LinkedIn

Projects

Here are some of the projects I've been working on:

  1. Improving Retrieval Mechanism in Retrieval-Augmented Generation Architecture (NLP, RAG): Multiple transformer models were trained and improved through finetuning to evaluate their capabilities for the retrieval task. Tech: Hugging Face, VectorDBs,

  2. Caltech Classification and Fine Tuning on AlexNet (Classification, Deep Learning): AlexNet model was used to predict in low data regimes and a large number of classes. different fine-tuning techniques were used to improve the accuracy. Tech: Weights&Biasses, Pytorch

  3. Machine Learning Based Natural Language Querying of Automotive Data (Information Retrieval, Deep Learning): A RAG architecture was designed to remove the intermediaries in the automotive industry, COLBERT architecture was implemented as State of the Art. Tech: Python, PyTorch

  1. Audio Intent Detection (Classification, Deep Learning): A deep learning model was designed to classify audio files using MFCC method. Tech: Python, TensorFlow, Keras

Feel free to explore and contribute!

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  1. Caltech_classification_fine_tuning_AlexNet Caltech_classification_fine_tuning_AlexNet Public

    Python

  2. Titanic-Machine-Learning-from-Disaster Titanic-Machine-Learning-from-Disaster Public

    Python

  3. Minimalist-Advanced-Python Minimalist-Advanced-Python Public

    Jupyter Notebook 1

  4. RAG RAG Public

    Improving Retrieval Mechanism in Retrieval-Augmented Generation Architecture

    Python

  5. adsp-polito/2024-P9-RAG-MARCO adsp-polito/2024-P9-RAG-MARCO Public

    Jupyter Notebook