Summary
Lucas Pavanelli is a Senior AI Engineer with 10 years of experience specializing in NLP and applied deep learning, currently building AI at Stone from a research-heavy background. He led a top-ranked multilingual NER+RE model in the eHealth-KD Challenge and co-authored two patents and three papers during his master’s work in information extraction. At aiXplain he architected agent frameworks and fine-tuning products, optimized MT/ASR supplier selection, and scaled ML tooling for enterprise integration. Comfortable moving models from research to production, he frequently uses PyTorch, scikit-learn and Transformer stacks to deliver practical products like Automode and FineTune. Based in Rio de Janeiro, he combines strong academic credentials (M.S., 9.9/10) with hands-on engineering across startups and research projects, including cost-saving simulations for Petrobras early in his career.
10 years of coding experience
7 years of employment as a software developer
High School with technical degree, Programming, High School with technical degree, Programming at ORT Institute of Technology
Master of Computer Science, Information Extraction, GPA 9.9/10.0, Master of Computer Science, Information Extraction, GPA 9.9/10.0 at Pontifical Catholic University of Rio de Janeiro
English, Portuguese