CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Campus de Sorocaba. Centro de Ciências em Gestão e Tecnologia (CCGT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor of Computer Science from the Federal University of São Carlos (UFSCar), Sorocaba campus. During my undergraduate studies, I developed a strong interest in Data Science, Machine Learning (ML), and Artificial Intelligence (AI), actively engaging in courses, personal projects, and extracurricular activities related to these fields. I served as an academic tutor, held a leadership role in a Junior Enterprise, and organized technology-related events. I undertook two paid and full-time Scientific Initiation (SI) projects.The first SI was funded by the São Paulo Research Foundation (FAPESP) and included a Research Internship Abroad (BEPE) at the University of Sheffield in the United Kingdom. The project, focused on Natural Language Processing (NLP), resulted in the publication of my first scientific article and was recognized as excellent by FAPESP. The second SI, funded by the Foundation for Research Development (FUNDEP) in collaboration with the Federal University of Minas Gerais (UFMG), focused on the use of ML to protect vulnerable road users, such as pedestrians.I am currently a master's student in the Graduate Program in Computer Science (PPGCC) at UFSCar, where I continue to deepen my studies in AI and ML with a focus on traffic safety. (Source: Lattes Curriculum)
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The volume of information produced and accessed through the Internet is large and growing. The amount of information available in scientific papers follows the same trend, making manual analysis of all existing content unfeasible. Thus, several strategies and architectures for artificial neural networks have emerged to represent texts using dense vectors, called word vectors. These techni…
The volume of information produced and accessed through the Internet is large and growing. Consequently, the amount of information available in scientific papers follows the same trend, making manual analysis of all existing content unfeasible. Several strategies and architectures for artificial neural networks have emerged to represent texts using dense vectors, called word vectors. Thes…
| 1 / 1 | Completed scholarships in Brazil |
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