Marcello Borges is an AI-focused ML Engineer and Data Scientist with 11 years of experience applying reinforcement learning and practical ML across logistics, hospitality, mining, and gaming. He has moved between hands-on R&D and production roles—designing RL agents at Riot via X-Team, leading ML efforts at Ambev Tech, and building LLM-driven agent assistants and RAG architectures for consumer applications. Comfortable from backend development to model deployment, he blends software engineering discipline (earlier C# WMS work) with advanced RL and prompt engineering skills. Based in Santa Catarina, Brazil, he enjoys tackling unsolved problems and systematically validating models and memory/DB structures to squeeze real-world performance from research ideas.
11 years of coding experience
8 years of employment as a software developer
Nanodegree - Deep Reinforcement Learning Inteligência Artificial, Nanodegree - Deep Reinforcement Learning Inteligência Artificial at Udacity
Bacharel Ciências da Computação, Bacharel Ciências da Computação at UFG
Contributions:5 commits, 4 pushes, 1 branch in 5 months
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