I've been passionate about coding for 7 years, starting with Python during high school. Since then, I've explored data science, AI, and software engineering through personal projects and studies at ECE Paris. I enjoy building clean, efficient solutions and experimenting with new technologies — from automation scripts to full-fledged ML models. I'm also a curious tinkerer, always trying out new tools like local LLMs, robotics projects, and anything that pushes my understanding further.

• 📍 Currently seeking an AI-focused internship for april 2026.
• 🧠 Passionate about AI and its applications.
• ☝️ Learning Langchain and AI agents
• 🌐 Check out my portfolio
• 💼 Find me on LinkedIn

🚀 Always striving to learn and grow every day! 🚀

Here are some of my favorite projects:

• My own local implementation of the architecture of the DeepSeek-OCR model.
• Used local CLIP and SAM models using the transformers library and Ollama.

• Built an end to end local RAG (Retrieval Augmented Generation) pipeline, enabling user to query their sources.
• Full local execution, with mistral:latest and mxbai-embed-large embedding model thanks to Ollama.

• Created a genetic algorithm to train AI models to race on a circuit.
• Gained hands-on experience with evolutionary computation and optimization strategies.

• Built a gan (Generative Adversarial Network) trained on the mnist dataset to gain knowledge about this architecture
• Built with Python.

• Built a system using computer vision to recognize ingredients placed in a fridge and suggest recipes based on their availability.
• Utilized Python, YOLO, and Spoonacular API for object detection and recipe recommendation.