Computer Engineering student at Instituto Mauá de Tecnologia, where he will graduate in December 2024. With practical experience in developing ESP32 microcontrollers and Artificial Intelligence, he works as an intern focusing on solutions for fiber optic monitoring
I am always looking to develop new skills with a focus on technology to grow as a professional in various fields. My passion for innovation drives me to explore diverse areas, particularly in software development and cybersecurity. I believe in continuous learning and am eager to adapt to the ever-evolving tech landscape.
"Tips4Trips" is a JavaScript-based app designed for travelers to connect and share travel tips with each other. Users can match with other travelers to exchange ideas and recommendations, fostering a community of like-minded individuals passionate about exploring new destinations. The app features a real-time chat functionality powered by MongoDB, enabling seamless communication between users. By facilitating these connections, Tips4Trips aims to enhance the travel experience, allowing users to gain valuable insights and tips from fellow adventurers.
"Ye Gestão e Saúde" is a project developed in React Native aimed at helping users manage their health. The app extracts all the data from blood tests, providing a comprehensive overview of health metrics. Additionally, it features a customized chatbot powered by AI that answers medical questions, enhancing user engagement and support. Users can also take notes on their consultations and medications, allowing for better tracking of their health journey. This project combines technology and healthcare to empower individuals to take charge of their well-being.
The chatbot, part of the "Ye Gestão e Saúde" project, is developed in Python and utilizes Docker for cloud deployment on AWS, ensuring reliability. This AI-powered chatbot offers personalized medical responses, enhancing user engagement within the health management app. Its characteristics and acquired knowledge are stored in a vector database using Qdrant, facilitating efficient information retrieval. This integration optimizes performance and enables continuous learning, improving the accuracy of responses to users' medical inquiries.
