Vinícius Marques is Head of Machine Learning Engineering at Music AI/Moises, leading the transformation of research prototypes into reliable, production-grade ML capabilities. With eight years of experience rooted in data engineering, he builds the infrastructure that enables fast, safe iteration—data and training pipelines, evaluation workflows, observability, and automated operations. He combines hands-on skills in Python, SQL, BigQuery, GCP, Kubernetes, Docker and Terraform with a pragmatic focus on reliability and maintainability. His trajectory from RPA and automation consulting to leading ML infra gives him a rare systems-first perspective on production AI: infrastructure choices that reduce friction for researchers and product teams. He holds an engineering degree from FURG and an MBA focused on AI and data science, blending technical depth with product-aware decision making. Colleagues value him for turning messy, disparate datasets into model-ready platforms that accelerate delivery without sacrificing quality.
8 years of coding experience
8 years of employment as a software developer
Bachelor, Control and Automation Engineering, Bachelor, Control and Automation Engineering at Universidade Federal do Rio Grande - FURG
Master of Business Administration - MBA, MBA in Technology for Businesses: AI, Data Science and Big Data, Master of Business Administration - MBA, MBA in Technology for Businesses: AI, Data Science and Big Data at Pontifícia Universidade Católica do Rio Grande do Sul
Computer and Electrical Engineering, Computer and Electrical Engineering at Florida Atlantic University
This repository contains a collection of ROS (Robot Operating System) packages needed for Simultaneous Localization and Mapping (SLAM), navigating and also performing simulations.
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