Miguel Ferreira has a diverse work experience in the field of software development, particularly in Unity and data science.
Miguel worked at CVEDIA as the Head of Data Science, where they led the development of neural networks for computer vision applications using proprietary synthetic data technology. Miguel contributed to core systems and spearheaded important research efforts. Currently, they are responsible for leading and managing a team that delivers accurate solutions within challenging time frames.
Prior to that, Miguel worked as a Development Lead at CVEDIA, where they played a key role in software development.
Miguel also has experience as a Unity Developer at Freelancer, where they developed the "Loopi Gugo" mobile app, an interactive video experience for iOS and Android.
Miguel worked as a Unity Developer at AppGeneration, where they led the development team and client interaction for the Magic Kinder application, a fun and safe app for children with various games, stories, videos, quizzes, and coloring activities. Miguel also developed games and AR/VR experiences for the app.
Before that, Miguel worked as a Programmer at AppGeneration, where their responsibilities included converting existing iOS-only reader code to a cross-platform solution for their digital book creation tool.
Overall, Miguel possesses strong skills in data science, software development, and Unity development, with a track record of successfully leading teams and delivering quality solutions.
From 2007 to 2012, Miguel Ferreira obtained a Master's degree in Informatics from Faculdade de Engenharia da Universidade do Porto.
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