Summary
Leonardo Monte is a data scientist and master's student in Artificial Intelligence with over two years of applied industry experience and nearly a decade involved in AI research and projects. He has built end-to-end ML solutions across healthcare, retail and product analytics, with hands-on work in deep learning (semantic segmentation for beach-person detection), forecasting, interpretability (SHAP), and production pipelines using Airflow and Google Cloud. Comfortable moving between research and delivery, he has authored scientific reports and supported cross-functional planning and stakeholder presentations. Based in Pernambuco, Brazil, he combines strong Python data engineering skills (Pandas, BigQuery, Spark) with practical model deployment experience, and a background as a programming instructor that sharpens his ability to communicate technical results to non-technical audiences.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at PPGIA UFRPE
Bacharelado em Ciência da Computação, Computer Science, Bacharelado em Ciência da Computação, Computer Science at Universidade Federal Rural de Pernambuco
English