Summary
João Matos is a Senior Machine Learning Engineer with eight years of hands-on experience building and deploying ML systems across healthcare, logistics, and e-commerce. He designs end-to-end ML stacks—spanning model development, MLOps, monitoring, and retraining—and has delivered high-impact solutions like call-demand forecasting and inventory-optimization models that produced multimillion-dollar savings. Comfortable with both research-grade work (LLMs, computer vision, generative AI) and production engineering (Dagster, MLflow, Azure, Kubernetes), he blends data science rigor with software and data engineering discipline. João has led cloud ML platform architecture and cross-functional pilots, introduced CI/CD and testing best practices, and built tools for large-scale performance and orchestration. Based in Chicago, he’s equally at ease prototyping novel multimodal models and hardening them for enterprise operations—often bridging the gap between experimental R&D and reliable production systems.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Analytics, Master of Science - MS Data Analytics at National Louis University
Bachelor of Science - BS Data Analytics, Bachelor of Science - BS Data Analytics at Roosevelt University
Portuguese, English, Greek, Spanish