Lucas Pellegrinelli is a software engineer with 9 years of experience, currently working on Search Platforms at Google after building backend and ML-driven products in Latin America. He has a strong track record delivering practical ML solutions—at BHub he built a text classifier that auto-tagged ~4,000 customer messages monthly and created dynamic task-routing and integration services to streamline operations. His research work at Projeto MGgrafeno produced performant algorithms that scaled Raman/AFM sample analysis from hundreds to tens of thousands, improving characterization accuracy by ~30%. Fluent in Python, JavaScript/TypeScript and C++, with production experience in Go, Gleam, Java and C#, he spans both systems and applied machine learning. A designer at heart, he blends visual thinking with engineering to prototype usable tools and interfaces. Off-hours he claims the title of best Rubik’s cube solver in his house, reflecting a methodical, puzzle-oriented approach to problem solving.
9 years of coding experience
5 years of employment as a software developer
Técnico, Ensino Médio, Informática, Técnico, Ensino Médio, Informática at Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais
Bacharelado, Computer Science, Bacharelado, Computer Science at Universidade Federal de Minas Gerais
Contributions:200 pushes, 1 branch in 3 years 4 months
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