🎓 Master’s Candidate in Computer Vision at PESC – COPPE/UFRJ,
exploring AI for computer vision and embedded systems.
💻 I’m passionate about combining machine learning, lightweight architectures,
and computer vision to design efficient and explainable AI solutions.
- 👁️ Computer Vision — Image processing, feature extraction, segmentation, and object detection
- 🧠 Weightless Neural Networks (WiSARD, BTHOWeN, DWN) — Efficient, interpretable, and memory-based learning models
- 🚢 Maritime Object Detection & Scene Understanding — Vessel and environmental perception from aerial/drone imagery
- ⚙️ Edge AI and TinyML — Lightweight neural models for embedded and low-power devices
- 🔋 Energy-Efficient Inference — Reducing computational and energy costs in AI workloads
- 🕶️ XR and Simulation-Based Training — Virtual and mixed reality systems for education and industry
| Project | Description | Repository |
|---|---|---|
| 🛰️ Super-Resolution for Maritime Imagery | Enhancing vessel visibility using ESRGAN and custom degradation pipelines | 🔗 View |
| ⚓ Ship Detection with WiSARD Networks | Hybrid lightweight detector combining MobileNet feature extraction and WiSARD classification | 🔗 View |
| 🍇 Grape Cluster Counting | Adaptation of probability-map segmentation for vineyard yield estimation | 🔗 View |
| 🕶️ AXR Simuladores (VR Training Startup) | XR-based immersive training for contract inspection and safety compliance | 🔒 Private |
Each repository reflects a part of my academic and technical journey from computer vision research to applied VR systems.
- 📄 “Ship Detection Technique Using Weightless Neural Networks”, Fusion 2025 — First Author
- 🍇 “Probability Map-Based Grape Detection and Counting”, Fusion 2025 — Co-Author
- 📘 Master’s Dissertation (in progress): Lightweight models for maritime vessel detection
Languages: Python, C#, JavaScript, C++
AI/ML: PyTorch, scikit-learn, wisardpkg, torchwnn
Computer Vision: OpenCV, Pillow, torchvision
VR/XR Development: Unity 3D, XR Toolkit, Meta Quest 3
Embedded: Raspberry Pi 4, Pi Pico W, CUDA
Tools: Git, GitHub, VS Code, Overleaf, Colab Pro
“Simplicity and clarity are not luxuries in engineering — they are requirements.”
⭐️ This profile documents my journey as an academic and developer. Feel free to explore the repositories, follow my progress, and connect!