2025 ? today: Leads technical and strategic FinOps engagements
Role: Partner FinOps & Data
Customer: Spare Consulting
Tasks:
Leads technical and strategic FinOps engagements, delivering stakeholder-ready reporting, governance frameworks, and training for sustainable adoption
2025?2026: Azure commitment automation foundation
Customer: SaaS Company
Tasks:
2024 ? 2025: Modernized a multi-cloud cost data platform
Role: FinOps Practitioner
Customer: Swisscom, Zürich (Switzerland)
Tasks:
2025 - 2025: Delivered 47% cost reduction and raised reservation coverage
Customer: Healthcare Group (2?000+ employees)
Tasks:
2025 - 2025: Quantified and baselined 83% data platform and 35% IaaS cost reductions
Customer: Finance Group
Tasks:
2025 - 2025: Delivered 58% cost reduction on Azure
Customer: Industry
Tasks:
2025 - 2025: Delivered 16% savings via VM rightsizing and commitments optimization
Customer: Public Administration (150 institutions)
Tasks:
2025 - 2025: Delivered a rapid FinOps maturity assessment
Customer: International Sports Federation
Tasks:
2019 ? 2023: Built commercial/finance delivery operations
Role: Chief Business Officer
Customer: CompPair Technologies, Lausanne (Switzerland)
Tasks:
02/2020 ? 09/2020: Developed and deployed computer vision models
Role: Computer Vision Engineer Intern
Customer: Transforma Robotics
Tasks:
Developed and deployed computer vision models for crack detection with rigorous evaluation and stakeholder-ready reporting of performance and trade-offs
06/2019 ? 09/2019: Pre-Sales Data Science Intern
Customer: Capgemini, São Paulo (Brazil)
Tasks:
Built AI prototypes (chatbots, emotion recognition) and delivered client demos, translating technical outcomes into business value
09/2018 ? 06/2019: Conducted market research and supported executive proposals
Role: AI Solutions Analyst
Customer: Visium, Lausanne (Switzerland)
Tasks:
Conducted market research and supported executive proposals with clear positioning, ROI narratives, and stakeholder communication.
Study - Microengineering, Robotics, and Machine Learning
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Degree: Bachelor and Master
Certification
2025 ? today: Leads technical and strategic FinOps engagements
Role: Partner FinOps & Data
Customer: Spare Consulting
Tasks:
Leads technical and strategic FinOps engagements, delivering stakeholder-ready reporting, governance frameworks, and training for sustainable adoption
2025?2026: Azure commitment automation foundation
Customer: SaaS Company
Tasks:
2024 ? 2025: Modernized a multi-cloud cost data platform
Role: FinOps Practitioner
Customer: Swisscom, Zürich (Switzerland)
Tasks:
2025 - 2025: Delivered 47% cost reduction and raised reservation coverage
Customer: Healthcare Group (2?000+ employees)
Tasks:
2025 - 2025: Quantified and baselined 83% data platform and 35% IaaS cost reductions
Customer: Finance Group
Tasks:
2025 - 2025: Delivered 58% cost reduction on Azure
Customer: Industry
Tasks:
2025 - 2025: Delivered 16% savings via VM rightsizing and commitments optimization
Customer: Public Administration (150 institutions)
Tasks:
2025 - 2025: Delivered a rapid FinOps maturity assessment
Customer: International Sports Federation
Tasks:
2019 ? 2023: Built commercial/finance delivery operations
Role: Chief Business Officer
Customer: CompPair Technologies, Lausanne (Switzerland)
Tasks:
02/2020 ? 09/2020: Developed and deployed computer vision models
Role: Computer Vision Engineer Intern
Customer: Transforma Robotics
Tasks:
Developed and deployed computer vision models for crack detection with rigorous evaluation and stakeholder-ready reporting of performance and trade-offs
06/2019 ? 09/2019: Pre-Sales Data Science Intern
Customer: Capgemini, São Paulo (Brazil)
Tasks:
Built AI prototypes (chatbots, emotion recognition) and delivered client demos, translating technical outcomes into business value
09/2018 ? 06/2019: Conducted market research and supported executive proposals
Role: AI Solutions Analyst
Customer: Visium, Lausanne (Switzerland)
Tasks:
Conducted market research and supported executive proposals with clear positioning, ROI narratives, and stakeholder communication.
Study - Microengineering, Robotics, and Machine Learning
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Degree: Bachelor and Master
Certification