PhD in electrical engineering at Pontifical Catholic University of Rio de Janeiro (PUC-Rio) with the main subject in support of decision methods - optimization, statistics, and AI. Master's degree in the same area as the PhD and computer engineering at PUC-Rio. Senior Development Engineer at Framo Services AS applying advanced expertise in AI/ML and research methodologies. Worked as a consultant of artificial intelligence, nanotechnology, and technological prospecting in the sectors of public policy (UNESCO and Brazilian Ministry of Science, Technology and Innovation), oil & gas, marine, education, and startups. Experience in: (i) developing new algorithms and indicators for machine learning and data mining projects; (ii) developing systems using artificial intelligence to support decisions through optimization, classification, and forecasting in the energy, oil and gas, and financial markets; (iii) use of decision support methods for inference of properties and synthesis of semiconductor devices on the nanometric scale.
Author of the published article "Unimodal optimization using a genetic-programming-based method with periodic boundary conditions" in Genetic Programming and Evolvable Machines. Read and share here: https://rdcu.be/bZi1vMore...