Summary
Luiz Borro is a Machine Learning Engineer with eight years of experience building data-centric AI solutions across telecom, agriculture, and R&D organizations in Brazil. He combines a strong academic background (MSc in Computer Science and PhD work in Molecular Biology) with hands-on production ML—deploying detection, recommendation and generative models using cloud tooling and deep learning. At Claro he focused on generative AI to improve digital products and previously led electricity-theft detection and recommender system projects at CPqD. He has a recurring track record of applying computational biology techniques—developing deep-learning generative chemistry models and in silico epitope characterization for vaccine and agrochemical discovery. Based in São Paulo, Luiz brings a rare bridge between bioinformatics and applied ML, able to translate domain science into deployable, impact-driven systems.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
Doctor's Degree, Molecular Biology, Doctor's Degree, Molecular Biology at Universidade Estadual de Campinas