Learning to make better decisions and build better products.
My education brings together four areas I apply in combination: engineering, business and operations management, product leadership and AI.
Computer Engineering.
The foundation for connecting software, electronics, communications and product decisions.
Computer Engineering
Universidad Católica de Córdoba
Design complete systems that integrate software, electronics, communications and engineering principles.
- Ranked first in the entrance cohort
- Award for Excellence
Academic exchange
San Diego State University
Broaden technical education through an international academic and cultural experience.
Turning an idea into a viable operation.
Education in commercial strategy, project management, logistics and international expansion.
Marketing and Commercial ManagementICDA · Universidad Católica de CórdobaTranslate a value proposition into positioning, commercial strategy and market decisions.2016
Project ManagementUniversidad Tecnológica Nacional · Facultad Regional CórdobaStructure scope, timelines, resources and risks to coordinate initiatives from start to finish.2017Integrated LogisticsICDA · Universidad Católica de CórdobaDesign production, distribution and supply chain operations that connect a proposition with its physical delivery.Completed
Foreign Trade and International MarketingUniversidad Nacional de CórdobaAnalyze markets, channels and international expansion to develop a commercial proposition beyond the local market.Choosing what to build and moving it forward.
Methods to research, prioritize and guide a product from an opportunity through its development.
Product ManagerCoderhouseResearch needs, define strategy, prioritize opportunities and guide product development.2022Agile Methodology / ScrumCoderhouseOrganize multidisciplinary teams around short cycles of delivery, learning and adjustment.2025
Enterprise Product ManagementMicrosoftManage products and decisions in organizations with multiple departments, dependencies and goals.AI.
I study AI through a product lens: which problems are worth solving, what data is needed, how it fits into an experience and where human judgment must remain.
Machine Learning Foundations for Product Managers
Duke University
Assess machine learning opportunities through value, data, feasibility and product experience.
AI Product Management Specialization
Duke University · Coursera
Define, design and manage AI products from a human-centered perspective.
Turning knowledge into evidence and practice.
Academic research and applied training to share knowledge and put it to work.
