Campinas, São Paulo, Brazil
Digital Signal Processing & AI Researcher interested in high-performance systems with Rust. Experienced in Biomedical Signal Processing and Analysis, currently focusing on: 🚀 Developing Deep Learning models for Magnetic Resonance Images. 🛠️ Bridging the gap between research prototypes and production-ready software. Holds dual Brazilian (🇧🇷) and European (🇪🇸) citizenship.
• Developing deep learning models for Magnetic Resonance Imaging (MRI) processing. • Implementing state-of-the-art architectures to assist in the diagnosis of women's health conditions. • Building end-to-end inference pipelines, from back-end development to CI/CD and production.
• Utilized DSP techniques to clean and prepare large-scale bioacoustic datasets for deep learning. • Investigated innovative Deep Learning approaches for the classification of biological time series. • Designed custom software solutions to streamline big data analysis and enhance team productivity.
• Processed and analyzed complex EEG time-series data using robust signal processing algorithms. • Developed deep learning architectures to classify neural signals within R&D projects. • Engineered Python-based tools to streamline data ingestion and processing.
• Worked as a data science intern in projects in the context of technology applied to education. • Developed internal data-drive solutions to solve data science-related demands of the company. • Worked for an affiliated startup as a data science intern, participating and winning a hackathon.
• Worked as a machine learning intern on a project involving brain decoding with ML + DSP. • Researched methods for processing and classifying brain digital signal data using deep learning.
• Worked as a visiting summer research student at the neuroimaging laboratory. • Helped colleagues by developing python scripts for biomedical image processing. • Experimented with deep learning models applied to magnetic resonance imaging data.