I'm currently in the final semester of my Computer Science degree at the Federal University of Pelotas (UFPel). I'm passionate about how computational systems generate, process, and interpret images - especially in the context of video compression and coding.
As a Scientific Initiation Scholar at ViTech (Video Technology Research Group – UFPel), I conduct research on the Versatile Video Coding (VVC) standard, with a focus on optimizing intra-frame coding for 360º videos using machine learning and lightweight models. I'm working toward integrating these methods into the VVC Test Model (VTM). I have also explored Multiple Constant Multiplication (MCM) approaches for DST-VII and DCT-VIII transforms. These efforts have led to publications accepted at events like LASCAS 2025 and WebMedia 2024.
In parallel, I collaborate with the Cybersecurity Research Group and the Veterinary Epidemiology Lab at UFPel, applying AI and NLP to predictive epidemiology and disease historiography, particularly focusing on arboviruses.
Additionally, I work as an Intern in Image Processing and Computer Vision at Primeira Mesa, where I develop applications using:
- 🟢 YOLO for object detection
- 🟣 DeepSORT for multi-object tracking
- 🔵 TensorFlow, PyTorch, and scikit-image for model training and deep learning tasks
- 🟡 OpenCV, NumPy, and other visual data processing tools
- 🎓 VVC intra prediction for 360º videos
- 🔬 Lightweight ML models for integration in video encoders
- 🧠 NLP + AI for health and epidemiological data
- 🧩 Deep learning for object detection, segmentation, and tracking
📫 Feel free to reach out to me:
