CV
My complete CV can be accessed here.
Education
- Ph.D in Computer Science, Max Planck Institute for Software Systems (MPI-SWS), 2028 (expected)
- M.S. in Computer Science, Pontificia Universidade Católica do Rio Grande do Sul (PUCRS), 2022
- B.S. in Computer Engineer, Pontificia Universidade Católica do Rio Grande do Sul (PUCRS), 2019
Work experience
- Dec 2022 - Present: Research Assistant (MPI-SWS, Germany)
- Investigating representations of deep neural networks
- Supervisors: Dr. Krishna Gummadi and Dr. Mariya Toneva
- Aug 2022 - Nov 2022: Research Internship (MPI-SWS, Germany)
- Investigated techniques for measuring representational similarity between deep neural networks
- Supervisors: Dr. Krishna Gummadi and Dr. Mariya Toneva
- Nov 2021 - Feb 2022: Research Internship (MPI-SWS, Germany)
- Worked with solutions to adversarial attacks, and evaluation of human perception in the deep learning domain
- Supervisor: Dr. Krishna Gummadi
- Aug 2021 - Nov 2021: Research Internship (Google Brain, Poland)
- Worked Transformer-based architectures for improving zero-shot visual question answering
- Supervisors: Neil Houlsby, Xiaohua Zhai, Matthias Minderer
- Jan 2020 - Aug 2021: Research Engineer / Machine Learning Engineer (Kunumi, Brazil)
- Applied deep learning models for social good
- Also worked on the development of a process-based data platform that behaves like an automatic prediction engine
- Jan 2018 - Jan 2020: Data Science Internship (Kunumi, Brazil)
- Implemented techniques to enhance the interpretability of deep neural networks in projects related to ICUs and conversational assistants
Skills
- Python
- Machine Learning
- Python
- Pytorch
- JAX
- Hugging Face