I'm bachelor's degree in Systems Analyst from the University of Franca (UNIFRAN), Franca, in São Paulo, where I held during the period between 2006 and 2009, concluding with the award for best thesis by the university itself.
In early 2010, I started my masters degree in Applied Computing at the National Institute for Space Research (INPE), in São José dos Campos, SP. In this institute, I not only had my first academic experiences, but also professional/practical experiences in the world of project development and management, as I describe below. During the master's degree (completed in late 2012), my research involved developing a road extractor through the use of SAR (Synthetic Aperture Radar) images, together with Active Contour Models (Snakes). Simultaneously to the master's degree, I started my first (commercial) experiences in 2011, when I worked as a developer and systems analyst in the Brazilian Monitoring Space Weather Program (EMBRACE/INPE). In these almost two years of experience, I worked mainly using Java language, under agile development model, in which we had to propose and develop applications for space applications and monitoring - always thinking on real-time responses. This application, in summary, should range from receiving observed (measured) data within our local servers, to producing and viewing user friendly.
After finishing my masters degree in Applied Computing, I moved to the city of Hannover, Germany, where I worked at the University of Hannover, specifically at the Institute of Geoinformation and Photogrammetry - IPI, performing pattern recognition activities again on SAR (radar) images, using mainly Language C. Then (on the same project), I worked with other tools, but with other goals, at the University of Pavia (UPV), Pavia, Italy.
In 2014, I returned to Brazil and started my PhD in Remote Sensing, where I worked with information extraction from buildings in large urban centers, such as facade information through the use of Deep Learning and Structure-from-Motion (3D) - SfM. In parallel, I returned to (EMBRACE/INPE) in 2016, again, working with the development of applications in the field of space weather and monitoring. In July 2017, I was pleased to meet with the staff of the Department of Photogrammetry (IfP) at the University of Stuttgart in Stuttgart, Germany.
Returning to Brazil in early 2018, where right after I had my PhD defense in August 2018. In April 2018, however, I was able to carry out the activities at (EMBRACE/INPE) again, where I had a chance to work with the development of TECMap, the Ionospheric-GNSS model to infer over GNSS signals the receiver's bias and Ionophese density (TECMAP). I stayed until april 2019, when I moved to Geopixel Geotechnology and IT Solutions, São José dos Campos, São Paulo, assuming a Technical Lead in Remote Sensing role, in june 2019. Mostly, the activities performed were related to coordination, likely in urban mapping and services usually provided for city halls, such as real estate cadastre updates, webGIS, planning, training, research, beyond other.
Fortunately, in 2020 I was able to join the department of Observação da Terra, where I integrate the team of Amazon Deforestation Monitoring Program (PRODES), also placed at National Institute for Space Research (INPE), São José dos Campos, SP, as a Scentific Developer. The products provided by PRODES it is nationally well known, and it has full fill a great monitoring campaign along the past 20 years. I had the privilege of holding the position until November 2020, where I left the program to take on as a Specialist in Computer Vision and Remote Sensing by Santiago & Cintra Consultoria (SCCON), in São Paulo, Brazil, a position that I hold until today.
All the experiments (academic and commercial) reported above were used to test methodologies (unit and integration, in Python and Java), as well as methodologies SCRUM, SOLID, among others that helped me not only in logic, but also in the conception of project-level applications. Meanwhile, I have the opportunity to get a good background on data analysis, data scratching, data parser, so on - in general, alternatives for understanding behaviour/patterns in big amount of data. I'm also Sun Certified Java Programmer - Platform SE 6.0 (SCJP 6.0).
In addition to these activities, I have providing consulting in the area of Geotechnologies and Remote Sensing, specifically, with tasks of computer vision, cartography and automatic recognition of features by machine learning.