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  • SaaSphere Technologies
  • France

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Mlcastor/README.md

👋 Hi, I'm Jérémie ESCACH

💼 Software Engineer

I am a highly motivated and fast-learning software engineer with a strong passion for AI and a keen interest in working for a major tech company. I possess the ability to quickly grasp new concepts and technologies, enabling me to adapt and excel in dynamic work environments.

🌱 Skills & Expertise

  • Programming Languages: Python, C++ (Unreal Engine), JavaScript, TypeScript
  • Libraries & Frameworks: CrewAI, LangChain, AutoGen, Django, Flask, python-ollama, Pycord, Pyglet, TKinter, PyPandoc, Pandas, MatPlotLib, Sphinx, PyFlyT, Gymnasium, Colossal-AI, cookiecutter, Fabric, MindsDB, Pytest, unit test, PyTorch, scikit-learn
  • Areas of Interest: AI agents powered by LLMs, Deep Reinforcement Learning, Computer Vision

🚀 Projects

  • Knights On Base: Developing an AI-powered TTRPG Game Master to provide an accessible and open tabletop RPG experience. (In Progress)
  • ESX Bundle: Building a custom ESX drag & drop bundle for FiveM RP server owner. (In Progress)

🌐 Open Source Contributions

I actively contribute to open-source libraries such as Pandas, MatPlotLib, and CrewAI on a daily basis, demonstrating my commitment to the developer community and continuous learning.

📫 Contact Me

⚡ Fun Fact

I discovered my passion for programming at the age of 10 while playing Little Big Planet. The game's level creation system, which allowed players to "code" NPC brains using a simple block-like algorithm system, sparked my curiosity. After hearing the term "algorithm" in a tutorial, I researched it online and stumbled upon the Ruby on Rails documentation. From that moment on, I began coding using the documentation, igniting a lifelong passion for programming.

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  1. specifications-paper-creator specifications-paper-creator Public

    this is a team of agents powered by CrewAI and Groq that tailor a specifications paper for computer science client

    Python 3

  2. AI-play-Pong AI-play-Pong Public

    It's a little project In python that uses NEAT to train a ML model to play the "Pong" famous game. You can also play against the best generation of ML player.

    Python

  3. vent_esx_bundle vent_esx_bundle Public

    A maintained version of VENT_ESX_Scripts.

    Lua 2