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CTO @ Invision AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Vision and Machine Learning Engineer with experience across multiple domains, with a proven track record in designing, developing and deploying robust solutions and leading teams to ship successful products. I have experience leading teams to integrate state-of-the-art ML/AI into products, including Edge processing and full-stack technologies, while ensuring business alignment.
EPFL
Doctor of Philosophy (Ph.D.), Computer Vision and Machine Learning
January 1, 2011 – January 1, 2016
Université de Bourgogne, Heriot-Watt University, Universitat de Girona
Master’s Degree, Computer Vision and Robotics
January 1, 2009 – January 1, 2011
Universidad Nacional de Rosario
Bachelor’s Degree, Electronic Engineering
January 1, 2002 – January 1, 2008
Invision AI
CTO
June 1, 2021 – Present
Invision AI
Director, AI Engineering
May 1, 2019 – October 1, 2021
Pix4D
Machine Learning Tech Lead
January 1, 2018 – March 1, 2019
Pix4D
Machine Learning R&D Engineer
December 1, 2016 – April 1, 2019
EPFL (École polytechnique fédérale de Lausanne)
Researcher
September 1, 2011 – November 1, 2016
SATELCO
Research and Development Engineer
January 1, 2007 – July 1, 2009
Rosario, Argentina
Invited speaker on Gaussian Processes and Ensemble Methods
November 1, 2014 – Present
for the Pattern Recognition and Machine Learning course at EPFL
Talk on Real Time Operating Systems
June 1, 2009 – Present
Introduction and application to medium-sized embedded systems. Talk given at the Universidad de Rosario, Argentina.
Sowing Monitor System Development
January 1, 2008 – Present
Embedded Hardware and Software, and Embedded Linux
Cultural Fit Analysis
The candidate's background includes significant academic research (Ph.D. at EPFL, Researcher role) and industry experience in AI/ML startups (Invision AI, Pix4D). This blend suggests a fit for environments that value innovation, deep technical problem-solving, and the ability to transition research into practical applications. The 'Research Engineer' target role aligns well with this profile. However, the project descriptions are very brief and lack specific details on collaboration or team dynamics, making a deeper assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate's career progression to CTO and Director roles suggests strong leadership, strategic thinking, and project management skills. Experience as a researcher and teaching assistant indicates strong analytical and communication abilities. The diverse project background, including embedded systems and machine learning, points to adaptability and a broad technical interest.