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Machine Learning Leader | PhD in Theoretical Physics | Turning AI Innovation into Products at Scale
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning leader focused on shipping real AI-based products. With a background in fundamental science, I bridge the gap between ML research, engineering, and user experience. I lead ML teams from experimentation to deployment, fostering ownership, strong collaboration, and clear communication.
Duke University, Department of Chemistry
Visiting Ph.D. Student
January 1, 2014 – Present
Technische Universität Berlin
Doctor of Philosophy (Ph.D.), Theoretical Physics
January 1, 2013 – January 1, 2016
Sapienza Università di Roma
Master of Science (M.S.), Theoretical Physics - Statistical Mechanics
January 1, 2009 – January 1, 2012
University of Maryland
Visiting Student
January 1, 2009 – Present
Sapienza Università di Roma
Bachelor's degree, Physics
January 1, 2009 – Present
Ermes Browser Security
AI and Data Lead
February 1, 2026 – Present
Turin, Piedmont, Italy
Sonos, Inc.
Senior Manager, Machine Learning
February 1, 2020 – August 1, 2025
Paris Area, France
Sonos, Inc.
Senior Machine Learning Scientist
November 1, 2019 – February 1, 2020
Paris Area, France
Snips
Senior Machine Learning Scientist
January 1, 2019 – November 1, 2019
Paris Area, France
Istituto Italiano di Tecnologia
Postdoctoral Researcher in Machine Learning and Automatic Speech Recognition
January 1, 2017 – December 1, 2018
Genoa Area, Italy
Cultural Fit Analysis
The candidate's career progression from a Postdoctoral Researcher to Senior ML Scientist, then to Senior Manager and AI/Data Lead, demonstrates ambition and a continuous drive for growth. The experience across different companies (Istituto Italiano di Tecnologia, Snips, Sonos, Ermes Browser Security) and diverse ML domains (speech tech, NLP, cybersecurity) indicates adaptability and a broad interest in applying ML. The leadership roles suggest a preference for high-ownership environments and building teams, which aligns well with innovative and fast-paced cultures. However, the lack of explicit project details or open-source contributions makes it difficult to fully assess diversity of work beyond professional roles.
Soft Skills & Operational Fit
The candidate's experience as an 'AI and Data Lead' and 'Senior Manager, Machine Learning' suggests strong leadership, team management, strategic planning, and cross-functional collaboration skills. The description of 'building the models, the infrastructure, and a culture of engineering excellence from the ground up' indicates a proactive and ownership-driven work attitude. The ability to manage budgets and mentor talent points to strong operational fit for senior roles.