Deep Learning Researcher · PhD student @ PUC-Rio / Tecgraf · Professional Unemployed
📍 Rio de Janeiro, Brazil
On a long enough timeline the survival rate for everyone drops to 0. Just an unemployed Deep Learning Researcher like others.
- 🎓 PhD student in Computing (Machine Learning) at PUC-Rio, doing research at Tecgraf
- 🔬 Working on neural surface representations: 3DGS, 2DGS, SDFs, UDFs and computer vision in general
- 🏥 Previously: medical imaging at the Vision Image Processing Lab (UFMA) and software engineering at the Applied Computing Group (NCA-UFMA)
- 🌐 Also a web developer: Angular, TypeScript and Leaflet by day
- 🗣️ Portuguese and English · 🛡️ Certified: Novo Pentest Profissional
| Year | Paper | Venue |
|---|---|---|
| 2026 | Neural Implicit Surfaces via Nested Multiscale Residuals | NeurIPS (accepted) |
| 2026 | Beyond Watertight Geometry: Neural Unsigned Distance Fields as a General Surface Representation · tutorial material | SIBGRAPI (accepted) |
| 2026 | From V-JEPA to LeWorldModel: A Survey on Accessible Video World Models | SIBGRAPI (accepted) |
| 2025 | Neural Network Ensemble for Detecting Parasite Eggs in Microscopic Images | Procedia CS |
| 2025 | DualAttentionNet: A CNN for Thoracic Disease Classification in Chest X-Rays | Procedia CS |
| 2023 | A PPM-based UNet for Tumour and Kidney Segmentation in CT Scans | CMBBE: Imaging & Vis. |
| 2022 | Glaucoma Stage Classification Using OCT Volumes and 3D CNNs | SBCAS |
| 2022 | PPM-UNet: A CNN for Kidney Segmentation in CT Images | SBCAS |
| 2022 | Optimizing a DenseNet-Based CNN for COVID-19 Diagnosis | SBCAS |
| 2022 | Applying Multi-Instance Learning to Breast Cancer Diagnosis in Histopathological Images | SBCAS |
| Period | Role | Where |
|---|---|---|
| 2025 – now | Deep Learning Researcher: 3DGS, 2DGS, SDF, UDF, computer vision | Tecgraf / PUC-Rio |
| 2025 – now | Web Developer: Angular, TypeScript, HTML, CSS, Leaflet | Tecgraf / PUC-Rio |
| 2024 – 2025 | Senior Software Engineer: Next.js front-end, code review, GitLab CI/CD | NCA-UFMA |
| 2023 – 2025 | Computer Vision Researcher: HRNet for small-object detection, composed losses for multi-stage detection, multi-branch X-ray classification | VIPLab-UFMA |
| 2022 | Spatial Data Engineer: Dash and Streamlit apps, GeoPandas, Plotly, Folium | NCA-UFMA |
| 2021 – 2022 | Computer Vision Research Intern: 3D CNNs for glaucoma staging | VIPLab-UFMA |
- PhD, Computing (Machine Learning), PUC-Rio · 2025 – now
- MSc, Computer Science (Machine Learning), UFMA · 2023 – 2025
- BSc, Computer Science, UFMA · 2019 – 2023
- Technical Diploma, Informatics, IFMA · 2016 – 2019
Deep learning & vision
Data
Web & tooling
Keep on keeping on.