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PierreExeter/README.md

Pierre Aumjaud

AI Engineer

AI Engineer transitioning from academia, with proven expertise in developing autonomous AI agents, deploying machine learning models, and implementing RAG-based systems.

Tech Stack





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  1. gmail-agent gmail-agent Public

    AI email assistant that classifies, drafts replies, and schedules meetings from your Gmail inbox.

    Python

  2. textbook-AI-assistant textbook-AI-assistant Public

    RAG-based AI tutor for textbooks. Ingests PDF or web sources into ChromaDB, answers questions via LlamaIndex. CLI and Chainlit web UI.

    Python

  3. rl_reach rl_reach Public

    RL Reach is a platform for running reproducible reinforcement learning experiments.

    Python 46 9

  4. MLOps-Pipeline-Deployment MLOps-Pipeline-Deployment Public

    A deployed machine learning model that predicts patient medical charges based on demographic and health data. Features a Flask API, a web front-end, and is containerized with Docker for deployment …

    CSS

  5. data-science-projects data-science-projects Public

    A collection of projects showcasing machine learning and data analysis projects in Python. Organized by project, each directory contains code, datasets, documentation and resources.

    Jupyter Notebook

  6. custom_gym_envs custom_gym_envs Public

    Some custom Gym environments for reinforcement learning.

    C++ 2 2