I carried out research into urban mobility using artificial intelligence, with a focus on Federated Learning.I created a framework in Python for periodic detection of urban communities via the distributed processing of GPS data.Furthermore, I manipulated large volumes of GPS data, extracting valuable insights for the research.I published an article in the renowned journal Ad Hoc Networks (Elsevier), highlighting the results of my research.

I collaborated on research into 5G/6G networks.I developed a network traffic simulator in Python. I implemented basic machine learning models using TensorFlow for preliminary analysis on disaggregated networks.Conducted experiments and data collection to support research.

I have participated in the development of medical applications and websites, using modern technologies such as JavaScript, TypeScript, React and React Native.I contributed to the delivery of new features in collaboration with cross-functional teams.Likewise, I actively participated in the integration of new systems, improving the end-user experience.

I researched the communication of devices in opportunistic/delay-tolerant networks, an innovative and challenging field.I developed a communication protocol in Java based on the history of encounters in urban spaces.Also, I carried out data collection and analysis activities using network simulators.I have presented and published three papers in leading conferences and journals, including SBRC and IEEE Access.

I helped develop complex websites for client O Boticário, using Grails, Java and JavaScript.I processed large volumes of financial data for client Rede Sysdata, improving operational efficiency.Furthermore, I learned and implemented agile practices in software development, improving the team's productivity.