Alexandre is a Founder Engineer and MSc candidate in Artificial Intelligence at Universidade de São Paulo with eight years of experience building production ML systems, data platforms, and deep-tech products. He has shipped end-to-end solutions across agriculture, pharmaceuticals, and risk assessment—ranging from geospatial pipelines and satellite-image workflows to demand forecasting and pricing engines. Comfortable across GCP/Azure, Databricks, PySpark, DBT and MLOps tooling (BentoML, Cloud Run, Airflow), he combines hands-on data engineering with research on synthetic data and generative neural networks. At Grupo 3778 and Orbia.ag he standardized reproducible data science practices, created project boilerplates and CI-backed deployments that reduced setup friction for teams. Now leading product development at Ranqia, he blends academic rigor with product-minded execution to move experimental models into reliable services. A less obvious strength is his specialty in synthesizing tabular and image data for robust classifiers—bridging applied research and scalable production.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Inteligência Artificial, Master of Science - MS Inteligência Artificial at USP - Universidade de São Paulo
Tarefas de classificação binária com dataset de classificação de pulsares
Contributions:60 commits, 11 PRs, 52 pushes in 2 months
pulsarbindatasetmachine-learningastronomy
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Alexandre ㅤ - Specialist Machine Learning Engineer at Ranqia