Massimo Tumolo is a Product Owner with eight years of experience bridging hands-on engineering and product strategy, currently based in Utrecht and working at ABN AMRO. He has led multidisciplinary teams to introduce AI/ML-based predictive maintenance and digital services in logistics, owning multiple in-house developments and third-party integrations. Earlier roles at Signify and CERN showcase his technical depth: he engineered IoT deployments and contributed to ROOT, CERN’s prominent open-source data analysis framework, improving DataFrame statistical actions and test automation. Comfortable with stakeholder management, co-creation with key accounts, and roadmap definition, he pairs Lean discovery practices with pragmatic delivery. His background in computer engineering and a double multidisciplinary degree underpin a blend of systems thinking and experimental innovation. Colleagues value his ability to translate complex numerical and data-driven problems into production-ready products.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Ingegneria Informatica e dell'Automazione, Bachelor's degree Ingegneria Informatica e dell'Automazione at Politecnico di Bari
Double Degree Multidisciplinary, Double Degree Multidisciplinary at Alta Scuola Politecnica
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Politecnico di Torino
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:32 commits, 22 PRs, 1 push in 4 months
Contributions summary:Massimo significantly contributed to the development and testing of the ROOT data analysis framework's DataFrame functionality. Their work centered on implementing and refining the "StdDev" (Standard Deviation) action, including its integration, performance, and accuracy. The user also focused on enhancing the testing suite, using gtest to validate the StdDev implementation, ensuring its correctness across various scenarios, including collections and multithreaded environments. The commits showcase a focus on numerical computation and data analysis within the ROOT ecosystem.
The official repository for ROOT: analyzing, storing and visualizing big data
Contributions:1 PR, 138 pushes, 29 branches in 2 months
analyzingdata-analysisdata-sciencestoringbig-data
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