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.

• Programming Languages: Python, C++ (Unreal Engine), JavaScript (Basic data structures)
• 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

• Specification Paper Creator: Developing an AI-powered tool using CrewAI to assist software engineers in creating tailored specification papers by asking relevant questions and searching the web for the best technologies suited to their use case. (In Progress)
• InnoviScrypt: Building an AI-driven ebook generator that utilizes agents to ask users specific questions about their book and tailor the content based on their needs, with the ability to search the web for additional information. (In Progress)

• JavaScript Data Structures and Algorithms Certification, FreeCodeCamp.com
• French Baccalauréat level education (without the actual degree)

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.

• Email: [email protected]

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.