Alexandre Grondin

🎯 Computer engineer graduated from ENSIMAG, I specialize in generative AI (LLM, NLP, etc.) and RAG (Retrieval-Augmented Generation) systems.

I design and implementcustom AIassistants capable of effectively leveraging companies' internal documents. My expertise particularly focuses on implementing RAG solutions locally, to ensure the security of sensitive data while maximizing the relevance of generated responses.

I work across the entire chain:

• Document parsing (PyMuPDF, Azure Doc Intelligence etc.)

• Document chunking (Recursive, LLM-based etc.)

• Embeddings models (ada002, 003 etc.)

• Retrieval (Hybrid search, Reranking, GraphRAG etc.)

• Generative LLM models (GPT, Mistral, Llama etc.)

🚀 Do you have a generative AI project or want to leverage your internal documents securely? Let's discuss it!