Conducting research on deep learning models for computer vision tasks, focusing on satellite imagery segmentation for various targets. Specializing in geospatial processing of satellite raster data, with expertise in Landsat and Sentinel-2 imagery. Currently leading the construction of a deep learning model utilized in an alert system for detecting and monitoring potential illegal mining activities in the Amazon rainforest.

Worked on machine learning and deep learning models for detection of coastal LULC located in Brazil. Development of software for prediction validation of CNN models.Google Earth engine course instructor.

Hired as an intern. I worked on coastal LULCs detection for MapBiomas RAISIG.