Thiago Rampim de Marcos

Graduated in Electrical Engineering from the Faculty of Engineering of Sorocaba (2011). A professional with extensive experience in developing machine learning algorithms, computer vision, and neural networks, including the use of GANs (Generative Adversarial Networks) for image enhancement and facial recognition. Specialist in processing large volumes of data using Big Data and cloud architectures, with an emphasis on creating robust and scalable pipelines for predictive analysis. Additionally, highly skilled in applying deep learning techniques to solve complex problems in real-time and high-availability environments. (Source: Lattes Curriculum)