Alberto Bobada is a Machine Learning Engineer with nine years of experience building and operationalising ML systems, currently focused on MLOps at Faculty in London. He has a strong aerospace and mechanical engineering background (MSc, Queen Mary; BS, Universidad de León and UVM) that informs his rigorous systems-thinking and data-driven approach to model development. At Leonardo he designed a reusable CI/CD pipeline for computer vision that became a company-wide reference and is driving a unified MLOps strategy across sites. His hands-on expertise spans model training, deployment, traceability and frontend/data-analytics tasks, with proven delivery on multi-million-pound projects in safety-critical domains. Colleagues describe him as analytically sharp and comfortable translating complex requirements into auditable, production-ready pipelines.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at University of Vermont
Bachelor of Science - BS, Aerospace Engineering, Bachelor of Science - BS, Aerospace Engineering at Universidad de León
Master of Science - MS, Aerospace Engineering, Master of Science - MS, Aerospace Engineering at Queen Mary University of London
Cross-validation of Keras and scikit-learn models with the Faculty platform
Contributions:17 commits, 4 PRs, 25 pushes in 1 month
pythonvalidationdata-sciencedeep-learningfaculty
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Alberto Bobada - Machine Learning Engineer at Faculty