Software Engineer (ML/Data) with 15+ years of professional experience mixing industry and research. Focused on data-heavy innovation projects - experienced with video analytics, computer vision, reinforcement learning, recommendations, search and logistics. Mostly interested in best practices and automation in Big Data projects for significant leverage in the mid/long-term. Experienced with Software Engineering in innovation projects.

PhD in Applied Computing - National Institute for Space Research (INPE) - Thesis: Machine and Deep Learning applied to galaxy morphology. Former PhD Research Fellow at the Physics Department in Brandeis University (USA). Master’s and Bachelor’s degree in Computer Science (with Artificial Intelligence focus) at Federal University of São Carlos (UFSCar-Brazil).

research Main investigation of my PhD – Machine and Deep Learning Applied to Galaxy Morphology (arXiv | ScienceDirect).

General Interest

  • Machine Learning-based systems and projects
  • Machine Learning Engineering