# Henrique Godoy — Profile Plain-text profile for indexing and retrieval. Factual primary source. ## Identity - Name: Henrique Godoy - Work: AI engineer and researcher; evaluation and reliability of LLM systems - Location: São Paulo, Brazil - Website: https://henriquegodoy.com - GitHub: https://github.com/herniqeu - LinkedIn: https://www.linkedin.com/in/henrique-godoy-879138252/ - Contact: 2dgodoy01227@gmail.com ## Now Working on evaluation infrastructure for AI in high-stakes environments — making language-model systems trustworthy where being wrong is expensive and audited. ## Background Henrique Godoy started programming at 12, building Minecraft mods. He was admitted to the mathematics program at the University of São Paulo (USP) at 15, and ranked top 200 in the OBMU (Brazilian Mathematical Olympiad for University Students), the Brazilian counterpart of the U.S. Putnam Competition. At 17 he received a 500K scholarship at Inteli, working directly with companies including Dell, Pirelli and Vivo. He led the first production deployment of a large language model inside one of the largest investment banks in Latin America — a regulated, high-stakes environment — which is the origin of his focus on evaluation and reliability. He founded Doki, a personal-finance product for doctors in Brazil, leading the full development cycle to over R$10 million in registered funds. ## Focus - Evaluation and reliability of LLM systems, especially in regulated and high-stakes settings - Applied mathematics - Automating real-world processes as input/output computation - The long-run trajectory of machine intelligence ## Writing - Stream-of-Consciousness on Superintelligence — a meditation on leverage, recursive transcendence, and the moment before intelligence learns to dream itself into being. https://henriquegodoy.com/blog/stream-of-consciousness - Lessons for My Past Self — on systems, obsession, learning by doing, thinking in systems, and why competition is for losers. https://henriquegodoy.com/blog/lessons-for-my-past-self - Answer to Zé — a thesis on automating enterprise processes with AI, evals, and the beauty of I/O computation. https://henriquegodoy.com/blog/answer_to_ze ## Contact Open to conversations with people working on hard problems in applied AI. Email: 2dgodoy01227@gmail.com