Miguel Martínez builds deep learning systems at NVIDIA, focusing on generative AI, recommender systems, and data analytics. Earlier in his career, he worked on financial services infrastructure and mentored students through Udacity’s Artificial Intelligence program.
His work today tackles how to make large language models more efficient and globally accessible. He helps developers customize LLMs using parameter-efficient fine-tuning and retrieval-augmented generation. He also creates GPU-accelerated methods for curating multilingual text corpora, solving the data scarcity issues that often hold back non-English model training.