Summary
Redemptor Taloma is a machine learning consultant and PhD in Information and Communication Technology with eight years of experience building robust forecasting and deep learning systems for energy, water and smart agriculture. He combines academic rigor from Sapienza and TU Berlin with hands-on R&D at Unidata and CNIT, delivering scalable pipelines, dense autoencoders for IoT time series clustering, and probabilistic transformer/diffusion models for long-horizon demand forecasting. His work emphasizes uncertainty quantification and practical retraining strategies to handle noisy data and temporal drift, improving operational adaptability and cost-effectiveness. Based in Rome, he blends research-driven innovation with production deployment, and uniquely bridges satellite, weather, and high-resolution sensor data to reduce risk in environmental decision-making.
8 years of coding experience
3 years of employment as a software developer
Dottorato di ricerca, PhD in Information and Communication Technology (ICT), Dottorato di ricerca, PhD in Information and Communication Technology (ICT) at Sapienza UniversitĂ di Roma
Diploma di MaturitĂ Scientifica, Diploma di MaturitĂ Scientifica at Liceo Scientifico Augusto Righi
Italian, English