With over six years of experience as a graduate professor and researcher at Unilasalle-RJ, I lead and supervise several undergraduate projects on e-health, using machine learning to solve real-world health problems. One of my main projects is the SmartCare IoT Environment, which creates mechanisms in a smart home to alleviate the agitation of the elderly with Alzheimer's automatically, using non-invasive sensors and actuators. I also teach cloud computing, scientific method, and virtualization to our data science students, sharing my passion and knowledge in these domains.I have a PhD in Computer Science at Universidade Federal Fluminense, focusing on machine learning, multimedia, VR, multisensory multimedia, computer vision, and 360. I have published multiple papers in international conferences and journals, and received honors and awards for my work. I also work on the specification and development of the test suite for digital TV receivers that implement the Ginga profile D middleware, and helped develop a new version of the Ginga middleware to integrate smart TVs with IoT devices. Additionally, I am a web developer and researcher at IPEA, where I have technical experience with back-end development with PHP, Python, Cloud, and databases. My aim is to do applied scientific research in integration with academia and industry, and to contribute to the advancement of knowledge and innovation in my field.