anass cherni

Introduction

✨ Passionate and results-driven AI & Data Science Master’s student at Université Paris Dauphine–PSL, proficient in Python and specialized in Machine Learning, NLP, Generative AI, and Agentic AI systems. 🚀 I have applied my skills in academic projects, internships, and hackathons, delivering AI solutions with measurable impact. Examples include: -Reducing manual processing times by 40% ⏱️ with an AI compliance system. -Creating multi-agent therapy assistants that won jury award 🏆. -Developing an insurance chatbot achieving 95% accuracy in client query handling. I am particularly interested in the potential of RAG & MCP architectures for streamlining processes and enhancing integration, with the goal of building AI systems that improve decision-making and user experience. My approach emphasizes data quality, model optimization, and scalable AI solutions. Core Competencies🧠: Machine Learning & Predictive Modeling: scikit-learn, XGBoost, LightGBM Deep Learning & NLP: PyTorch, TensorFlow, Transformers, LLMs, RAG, MCP architectures MLOps & Deployment: FastAPI, Streamlit, Docker, GCP Vertex AI Data Engineering & Analytics: SQL, SSMS, SSIS, Power BI 🌍 Currently seeking a final-year internship (Master 2) starting January 2026, where I can contribute my skills to impactful projects.

Liens