Current GPA: 3.84 / 4.0

• "LLM-based data augmentation for continuous learning models in pedestrian trajectory prediction'', supervised by Dr. Tiago A. Almeida
• Graduate Program in Computer Science (PPGCC), machine learning and natural language processing thematic track, Intelligent Systems and Data Science Laboratory (LaSID)

Final score: 5.2 / 7.0

• Virtual Mobility Pilot Program of the Association of Universities of the Montevideo Group (AUGM), completed the online course "Spatial Data Analysis and Geographic Information Systems"
• Spatial and demographic data analysis applied to decision-making, building interactive maps and dashboards using QGIS and Power BI

Final score: 9.03 / 10.0

• Received broad training in Computer Science, including topics such as artificial intelligence, data science, deep learning, and machine learning
• Conducted a funded research internship abroad, which resulted in the publication of a peer-reviewed article in an international journal
• Worked as undergraduate teaching assistant in mathematics-related disciplines and organized student-led events

• Fully-funded international graduate research internship on LLM-based data augmentation for continuous learning models in pedestrian trajectory prediction
• Collaboration with the Institute of Automated Driving (C-IAD) at the Center of Automotive Research on Integrated Safety Systems and Measurement Area (CARISSMA)

• Fully-funded international undergraduate research internship supervised by Dr. Carolina E. Scarton
• Collaborated with the Natural Language Processing (NLP) Research Group at the School of Computer Science, investigating the use of deep bidirectional transformers to uncover latent knowledge from unstructured biomedical cancer literature

• Full-time and funded undergraduate research project development
• Project title: Discovery of latent knowledge in medical articles on Acute Myeloid Leukemia

• Facilitated the learning experience for BSc Computer Science students in a NLP course
• Designed and proposed assignments aligned with course objectives, delivered lectures on core topics

• Undergraduate teaching assistant for the Programa de Acompanhamento Acadêmico aos Estudantes de Graduação (PAAEG)
• Assisted first-year students of diverse majors in consolidating knowledge of Analytical Geometry and Linear Algebra classes, reinforcing problem-solving and theoretical understanding

• Worked as an undergraduate intern in BTG Pactual's Summer Tech vacation internship program
• Part of the automation team, developing Robotic Process Automation (RPA) programs using the UiPath tool