Thiago Grabe is a Lead Machine Learning Engineer with eight years of cross-disciplinary experience bridging mechanical engineering and computer science, currently driving GenAI and MLOps initiatives at Bain & Company. He combines hands-on expertise in robotics, computer vision and industrial time-series modeling with production-grade deployment skills—Kubernetes, Docker, MLflow, Airflow, Ray and vector DBs—to turn research into scalable AI systems. His background in steelmaking energy optimization and IIoT gives him a rare operational perspective on ML that uncovers six-figure efficiency gains for industrial customers. As an Udacity project reviewer he mentors aspiring data scientists while maintaining a portfolio of applied ML work informed by an MSc in Computer Science and a BSc/BE in Mechanical Engineering. Known for integrating physical process knowledge with modern AI tooling, he excels at translating complex domain constraints into reliable, automated ML pipelines.
Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program
Contributions:3 releases, 17 pushes, 3 tags in 1 year 8 months
pythonnanodegreeudacitydevopsmlops
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