I am a seasoned Backend Computer Engineer with years of industry expertise; with the last 2+ years solely focused on machine learning and data experiments. I thrive and show mastery in continuous challenges and new developments as part of the software, firmware and hardware teams on projects using different programming languages, industry best practices and business logic to reflect the requirements of clients.
Worked as a Software developer on a security focused Windows kernel driver.
Played a key role as a member of the development team working on an embedded software for an UAV.
Implemented Scrum and Agile culture in a small team and worked with other engineers on the team to effectuate the right algorithms and systems on the project.
Acted and utilized innovative approaches as a software developer on an embedded board project for the National Agency of Space Activity using NASA and ESA standards for development.
Built robust desktop applications for the ground support equipment for an aerospace satellite on the project.
Oversaw all software/firmware design, development and testings tasks on a general purpose embedded systems development kit based on Freescale Kinetis K60.
Successfully managed the implementation of a dedicated router for the LAN/WAN access to provide communication between the data network on all the school's buildings and the University's main network.
Oversaw the migration of main building's data network to a dedicated VPN network.
Offered regular IT support and data network maintenance on campus and the downtown building of the school.
In collaboration with Red Hat, Argentina's National Migration department created an open source, private cloud migration analysis platform which effectively uses artificial intelligence (AI) insights to analyze potential threats and enhance coordination with security organizations. Designed and developed the APIs for the big data search system on the platform for the analysis of migrations into Argentina.
Worked on the design and implementation of machine learning solutions for a payment approval prediction system, which uses credit card history information for processing.
The SAOCOM Earth Observation satellites are used for the measurement of soil moisture and applications in emergencies; such as the detection of spills of hydrocarbons on the sea and the monitoring of water coverage during floods. It is a project developed in collaboration with the Italian Space Agency (ASI) and integrates operationally with the Italian satellites COSMO-SkyMed and the SIASGE (Italo-Argentine System of Satellites for Emergency Management). Designed and engineered the components for the embedded software to efficiently perform the acquisitions of RF pulses for the main instrument of the Satellite.
Education
Computer Engineering
Exacts, Physics and Natural Sciences School, National University of Cordoba
2004 - 2013 (9 years)
Programming Mobile Applications for Android Handheld Systems: Part 1
Coursera, Credential ID:RBLYZPPJ9J
2015
Neural Networks and Deep Learning
Coursera, Credential ID:VMFUG5VXS9TB
2017
Algorithmic Toolbox
Coursera, Credential ID:UX8U85QAXJ34
2017
Structuring Machine Learning Projects.
Coursera, Credential ID:DUJE8A754EL7
2018
Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization.
