Summary
Raúl Díaz is an experienced engineering leader and researcher with two decades in IT, blending project and team management (CAPM, Scrum) with hands-on software and data science practice. He has built and led software departments across Latin America and Spain, notably creating an autonomous development team in Mexico that eliminated dependence on the parent Spanish unit and generated significant cost savings. Transitioning from large-scale e-government and SCADA projects to data science, he spent recent years delivering forecasting and ML solutions (Scikit-Learn, XGBoost, LightGBM, TensorFlow/PyTorch) and now focuses on AI-driven reliability and observability research at the Universidad de Málaga. Comfortable across infrastructure, DevOps and analytics stacks (Docker, Databricks, MySQL, Flask), he pairs systems thinking with practical model deployment experience. His background includes unexpected pivots—running a university residence to 100% occupancy and coaching youth soccer—demonstrating operational and people-management strengths beyond pure technology. Based in Andalusia, he is refocusing his career toward machine learning, text mining and niche domains where reliability and traceability of complex systems matter.
8 years of coding experience
21 years of employment as a software developer
Computer Engineer, Computer Engineer at Universidad de Málaga
Titulo de Bachiller Ciencias, Titulo de Bachiller Ciencias at Colegio San Estanislao
English