Currently pursuing a dual-degree in Computer Science (ENSSAT, France 🇫🇷) and AI & Data Science (University of Sherbrooke, Canada 🇨🇦).
I specialize in Agentic AI and Computer Vision, with a particular focus on healthcare and industrial applications. I’m a big believer in "learning by shipping."
- Languages: Python, C, R, SQL, Java (Spring Boot).
- AI/ML: Pytorch (CUDA), Scikit-learn.
- Agentic AI: CrewAI, Pydantic, LangChain, Ollama.
- Infrastructure/DB: Docker, MySQL, GitHub.
My latest project: ArxRate
I built this project to experiment with multi-agent systems. ArxRate is made to automate the pipeline from raw arXiv search queries to structured technical reports using local LLMs. This project acts as a specialized multi-agent system that autonomously retrieves, filters, and synthesizes the latest academic research into a cohesive document.
- Stack: Python, CrewAI, Ollama.
- Key Challenge: Fine-tuning the coordination logic between a Researcher Agent (data retrieval) and an Analyst Agent (synthesis) to ensure high-fidelity reporting.