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Engineering Manager | Physics & Engineering | Leading AI & Data Teams
I specialize in the strategic intersection of data, technology, and product strategy. With a background in Physics and Engineering, I enjoy turning complex ideas into scalable products, clear roadmaps, and high-performing technical teams. My focus goes beyond execution — I care about building the connection between technical depth and real business impact. Some areas I especially enjoy working on: • Strategic Leadership: Building and managing high-performing technical teams by prioritizing a healthy team culture, transparency, and a shared sense of purpose. • Product & Innovation: Translating abstract concepts and ideas into practical solutions that create measurable value. • Analytical Decision-Making: Using my scientific background to challenge and test assumptions, optimize processes, and navigate complexity with clarity. I value transparency, honest communication, and real teamwork. I especially enjoy working with multidisciplinary teams, where different perspectives and backgrounds come together.
École Polytechnique
Master's Degree in Renewable Energy, Science and Technology (REST)
January 1, 2018 – January 1, 2019
University of Buenos Aires
Licentiate Degree in Physical Sciences
January 1, 2009 – January 1, 2017
ZoomAgri
Machine Learning Team Lead
September 1, 2020 – Present
ZoomAgri
Project Manager / Data Scientist
January 1, 2020 – January 1, 2021
Eco CO2
Data Scientist Intern - R&D Team
April 1, 2019 – September 1, 2019
France
FLENI
Researcher / Data Scientist
January 1, 2016 – June 1, 2018
Buenos Aires
University of Buenos Aires
Science communicator / Teaching Assistant
March 1, 2014 – March 1, 2016
FLENI
Research Assistant
March 1, 2013 – May 1, 2015
Buenos Aires
Private classes
Private Tutor – Physics & Mathematics
March 1, 2012 – March 1, 2015
Tecnópolis - Science Park
Science Outreach Guide & Speaker
July 1, 2011 – September 1, 2011
Registered Scrum Master™
Agile Education by Scrum Inc.™
June 24, 2026 – Present
Registered Product Owner™
Agile Education by Scrum Inc.™
June 24, 2026 – Present
Registered Scrum Master
Scrum Inc.
June 24, 2026 – Present
Registered Product Owner
Scrum Inc.
June 24, 2026 – Present
Diplomatura en Metodologías y Marcos de Trabajo Ágiles
Centro de e-Learning UTN FRBA
June 24, 2026 – Present
Scrum Grand Master
Centro de e-Learning UTN FRBA
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Data Science Professional Certificate
HarvardX - An Online Learning Initiative by Harvard University through edX
June 24, 2026 – Present
Python for Data Science and Machine Learning Bootcamp
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across research, energy, and agricultural tech sectors, combined with roles ranging from researcher to team lead, indicates adaptability and a broad interest in applying data science to various domains. Their certifications in Scrum Master and Product Owner, alongside their technical expertise, suggest an appreciation for agile methodologies and structured project delivery. While the target role is 'Data Analyst', their experience leans heavily towards 'Data Scientist' and 'Machine Learning Engineer' with leadership responsibilities. This might indicate a potential overqualification or a need to align expectations regarding the scope of a Data Analyst role, which typically involves less direct ML model development and more reporting/dashboarding. The cultural fit is good for a data-driven, collaborative environment, but the specific role alignment needs clarification.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and communication skills through their Machine Learning Team Lead role, where they focused on fostering collaboration, translating complex concepts, and driving process improvements. Their experience as a Project Manager/Data Scientist also highlights their ability to coordinate cross-functional teams and establish collaborative workflows. The science communication and teaching assistant roles further underscore their ability to explain complex topics clearly. These attributes suggest a good operational fit for roles requiring both technical depth and team interaction.