Expériences
ai intern
Designing an AI-powered assistant to automate first-contact client interactions using LLMs and NLP
• Building a multi-agent architecture (LangChain, CrewAI, Autogen) to extract project requirements: type, budget, style,
regulations, etc.
• Developing specialized agents for each domain and coordinating them via an orchestrator agent
• Integrating RAG (Retrieval-Augmented Generation) pipelines for PLU norms and architecture standards
Formations
Engineering Degree in Telecommunications
Focus Areas: Artificial Intelligence, Machine Learning, Computer Vision, MLOps, Cybersecurity, Cloud Computing