Guilherme Thomaz is a Senior Applied Scientist with 8 years of experience building and deploying AI systems across finance, media, and enterprise products, currently working on Copilot tuning at Microsoft. He holds an MSc from IME-USP focused on recommender systems and graph neural networks and has led development of custom language models and newsroom AI at Thomson Reuters. Guilherme combines hands-on modeling and MLOps—shipping credit risk and limit recommendation systems at Nubank and end-to-end NLP/graph applications at Itaú—with experience managing teams and mentoring practitioners. He also taught an intensive LLM course at IME-USP, blending theory and practical fine-tuning, RAG, and agent design. Based in São Paulo, he pairs rigorous academic grounding with product-focused delivery and a knack for translating research into newsroom and fintech impact. Off the clock he’s a singer seeking a band and a board-game aficionado, hinting at creative collaboration and strategic play in his approach.
8 years of coding experience
7 years of employment as a software developer
Transfered Mechanical Engineering , Transfered Mechanical Engineering at Escola Politécnica da USP
Master's degree Data Science Recommender Systems & Graph Neural Networks, Master's degree Data Science Recommender Systems & Graph Neural Networks at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)
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