Alexandre Maros is a Staff Machine Learning Engineer with 11 years of experience building production-grade recommendation systems and low-latency ML endpoints for high-traffic platforms. With a Master's in Computer Science focused on Social Computing and AI, he has applied research-grade time-series and performance-prediction work to practical problems like demand forecasting, embedding generation, and feature-store driven pipelines. At iFood he led integrations that materially boosted ad conversion, designed scalable PySpark ETLs, and helped shape MLOps tooling across AWS, Databricks, Docker/Kubernetes and Terraform. He mentors peers in software and ML engineering, blending academic rigor from collaborations like the ATMOSPHERE project with hands-on delivery. Now at VTEX, he continues to translate complex models into reliable, low-latency services that drive measurable business impact.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Technological University Dublin
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade do Estado de Santa Catarina
Master's degree Computer Science, Master's degree Computer Science at Universidade Federal de Minas Gerais
Contributions:3 PRs, 17 pushes, 2 branches in 2 years
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Alexandre Maros - Staff Machine Learning Engineer at VTEX