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Amayas29/README.md

Hi, I'm Amayas 👋

🚀 Data Scientist & AI Engineer passionate about building innovative solutions with Generative AI and advanced Machine Learning technologies.


🛠️ Technical Skills

Programming Languages

Python C Java Shell Scripting

Frameworks & Libraries

Transformers Llama Index PyTorch Pandas Scikit-learn LangChain Ollama

Databases & Vector Search Engines

Chroma Faiss MongoDB Neo4j

Tools

Linux VS Code Git


🚀 About Me

🎓 Data Scientist and AI Engineer with a Master's degree in Data Science from Sorbonne University.

💼 I recently completed an internship at the Datalab Groupe @ Crédit Agricole, where I:

  • Developed an email response suggestion system for banking advisors using LLMs, prompt engineering, and RAG techniques.

📌 Recent Projects:

  1. Neural Network Framework: Implemented a custom neural network framework from scratch, inspired by early PyTorch versions.
  2. Deep Learning for Vision: Worked on advanced computer vision tasks using CNNs and Vision Transformers (ViT).
  3. Kizuna (In Progress):
    • Developing a modular AI library to create custom pipelines intuitively.
    • Features include module chaining for LLMs, embeddings, and RAG with an interactive graphical interface.

🌐 Connect with Me

LinkedIn

Profile Views

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  1. neural-networks neural-networks Public

    L’objectif de ce projet est d’implémenter un réseau de neurones. L’implémentation est inspirée des anciennes versions de pytorch.

    Jupyter Notebook 1

  2. review-analysis review-analysis Public

    Jupyter Notebook 1

  3. analyse-de-sentiments-et-reconnaissance-du-locuteur analyse-de-sentiments-et-reconnaissance-du-locuteur Public

    Jupyter Notebook 1

  4. Deep-learning-for-vision Deep-learning-for-vision Public

    This project focuses on leveraging deep learning techniques for computer vision tasks. The journey begins with a comprehensive introduction to neural networks, covering essential concepts like back…

    Jupyter Notebook 1

  5. explain-AI explain-AI Public

    In the context of this project, I am exploring various techniques to enhance the transparency and interpretability of machine learning models. These methods fall into two main categories: auto-expl…

    Jupyter Notebook

  6. ama-learn ama-learn Public

    Implementation of machine learning algorithms and models in python

    Python 1