Remote Sensing, Spatial Services, Big Data and AI2017 – (FAdeA)Setup of Observatorio Nacional de Cambio Climático (National Observatory of Climate Change) in Agentina. Creation of a backend services for:- Automated (Python scripting) downloading of Sentinel-2 satellite images, processing it obtaining a set of 34 radiometric indices.- Automated (Python scripting) supervised and unsupervised classification algoritms (K-means. Etc.) in order to convert rasters into vector layers- Automated AI improving predictions using Tensor Flow AI algoritms like spatial regression, clustering (K-means, K-medians, K-medoids, Spectral, Hierarchical, etc.), Simple and Multiple Linear Regressions, Logistic Regressions, geo-statistics analysis like Morans’s I(Global and Local, Univariate and Bivariate).- Implementation of Geoserver.2018 – (For BIT S.A.)Design and Architecture of an automated remote sensing system for precision agriculture assistance and advice for smart farmers. It uses AI (Fensor Flow) and SAP spatial Services.

Tech Lead at Orbitz account (Hotels).

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Senior Developer on American Airlines account. Enchanged of Production Support.

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Design, architect& implement ML and AI solutions.Leading data scientists and ML engineers accomplished many ML and AI innovative projectsML frameworks and programming languages: TensorFlow, Azure Machine Learning Studio, Dataiku Data Science Studio, SciKitLearn, Keras, RStudio, Python, R, Java

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