Currently, I have been working with Data Science for Motorola Mobility Projects, via Eldorado Research Institute.Master in Computing Science from the Institute of Computing at Federal University of Amazonas, with emphasis on Deep Machine Learning and Computer Vision. I am also interested in Systems Development, Assistive Technology Applications and Education. My master's research area involves Deep Learning and Image Processing for action and gesture recognition in videos, to assist deaf people: this research is based on the need for a method to perform Brazilian Sign Language recognition, with low cost, in a non-intrusive manner, and efficient in recognizing individual signs that are executed in motion. We present a strategy for the recognition static and dynamic Brazilian Sign Language sings, using a three-dimensional convolutional neural network with multichannel fusion and transfer learning. I was also an instructor for undergraduate students, in projects involving Design Patterns, at the Federal Institute of Amazonas. At this Institute, I developed a prototype, using digital image processing, for people fall detection (elderly, sick). I already worked with mobile development - as a volunteer, developing an app for children with autism and Down syndrome - and with systems development, as a trainee at the Amazonas State Court of Auditors.