- Working as a Project Engineer generating solutions for different national and international industrial companies. - Worked generating mathematical and statistical models mainly for minery companies using machine learning techniques- Design of online virtual sensors for Las Bambas, Minera Los Pelambres and others, using neural networks with gpu tensorflow framework for specific variables of mill process. - Reporting plant and loop control anomalies for Methanex- Data analysis for industrial process extracting important features and performing dimensional reduction.- Worked with PI and AF databases from OSISoft and PIWebAPIExtensive use of python, being the most important tools: numpy, pandas, sklearn and django framework.- Back-end design: generating django projects and getting involved with websockets- Front-end design: dashboard with personalised KPI’s and visual tools for analytics using React Framework.

Worked with a multidisciplinary team and Carabineros de Chile in the project “DESAR-ROLLO DE SOFTWARE COMPUTACIONAL DE UN SISTEMA PREDICTIVO DEL DELITO URBANOY RURAL PARA CARABINEROS DE CHILE”. The main objective was the implementation ofa software capable of forecasting criminal risk to allocate more efficiently the police re-sources. Explored methodologies from machine learning including particle filteringconcepts, kernel theory, signal processing and spectrum analysis including Fourier andWavelet analysis. Extensive use of Python, became familiar with full-stack development,use of databases and visualization with QGIS.

Implementation of Fractionary Control Strategies on Dynamical SystemsImplemented fractional-order PID controllers in Matlab in order to control a Water TankSystem and a Twin Rotor at the Automatic Control Lab (DIE, Universidad de Chile)

Tested electrical cables in order to guarantee its quality by means of a Partial dischargemeasurement system. Worked with a team and learnt about security when dealing withhigh voltages