Pierre Lepagnol is an AI Research Scientist at SCIAM, with 5 years of experience in Data Science. He specializes in NLP/AI and holds a PhD in NLP from Université Paris-Saclay. Pierre is an AI Engineer focused on making scientific paper ideas production-ready. He is employed, open to work, and seeking full-time opportunities, particularly in technical architecture.

Technical architecture, Natural Language Processing (NLP), Deep Learning fundamentals, high-throughput inference, LLM specialization, cross-LoRA implementation, transferring LoRAs between models, making scientific papers production-ready, robust neural networks, statistical modeling.

Open-source implementation of clever ideas in sicentific paper to make it production ready. Like Cross-Lora to transfert a Lora from a model to an other model.

physics, AI, robots

physics, AI, robots

abra