Lucas Pavanelli is an AI Research Engineer at aiXplain, inc., where responsibilities include leading the development of FineTune for NLP tasks and translating over 10K ACL papers into 60 languages. Prior experience includes roles as an NLP Research Intern and Data Scientist at Jobzi, where Lucas worked on a machine learning-based resume parsing tool. Academic contributions include serving as Head Teaching Assistant for advanced data structures and introduction to engineering courses at the Pontifical Catholic University of Rio de Janeiro, and involvement in undergrad research that developed a stochastic simulation system for Petrobras. Educational qualifications include a Master of Computer Science focused on Information Extraction and a Bachelor of Engineering in Computer Engineering from the same institution, complemented by an early technical degree in Programming.
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