Summary
Mario A. Galindo Queralt is a Ph.D. civil engineer and CEO with nearly four decades designing large-scale structures and diagnosing complex structural pathologies while leading his firm Galindo Ingeniería. He combines deep academic roots—teaching continuum mechanics, finite elements and programming in C++/Python at multiple Bolivian universities—with 29 years of research in numerical methods and material fracturing. In the last five years he has pivoted into AI research, applying deep learning and reinforcement learning techniques—particularly deep recurrent neural networks—to predict future events in non-periodic, semi-random problems. As founder and CEO of Prophet Artificial Intelligence Trader Incorporated, he bridges structural engineering intuition and data-driven forecasting to tackle stochastic prediction challenges. His profile blends hands-on structural consultancy, long-term academic mentorship, and cutting-edge AI experimentation, reflecting a rare mix of applied engineering and theoretical research.
7 years of coding experience
Neural Networks and Deep Learning, Machine Learning, Neural Networks and Deep Learning, Machine Learning at Coursera
Ph.D., Civil Engineering, Ph.D., Civil Engineering at Universidad Politécnica de Cataluña
Licentiate degree, Civil Engineering, Licentiate degree, Civil Engineering at EMI, Civil Engineering
English, Spanish