| English | Português |
- 👨🏽💻 Machine Learning and Computer Vision engineer with focus in Neural Networks with strong background in math, algorithms and engineering.
- 🔍 Seeking for opportunities to apply my skills in CV/ML roles where I can contribute to real-world applications.
ML & Computer Vision: PyTorch, OpenCV, Scikit-Learn, DLib, NumPy, Pandas, FFmpeg
Languages: Python, Rust, C/C++, Julia, Haskell, MATLAB, Java, Kotlin
Other: CUDA, OpenGL, Docker, Git, Linux, Arduino
- Neural Networks: Transformers, ViTs, CNNs, RNNs, LSTM, Autoencoders, ResNets, NeRF, LVSM
- Computer Vision: 3D novel view synthesis, object/face/gesture detection, facial recognition, image classification
- Image Processing: Spatial/spectral filtering, histogram analysis, feature extraction, wavelets
- Machine Learning: Regression, classification, clustering, dimensionality reduction, ensemble methods, simulated annealing
- Math: Linear algebra, calculus, probability & statistics, differential equations, signals & systems
- Simulation: 3D rendering
- Software Engineering: Agile (XP, Scrum, Kanban), SOLID, Clean, REST APIs, unit testing