Alberto Landi Cortiñas

Alberto Landi Cortiñas is a researcher specializing in artificial intelligence and data science. He currently serves as a research collaborator at CiTIUS (University of Santiago de Compostela, Spain). Previously he worked as a data scientist at the fintech startup QUASH.ai and as an associate at PwC Venezuela. Landi holds a B.Sc. in Systems Engineering from Universidad Metropolitana (Caracas, Venezuela) and is completing an M.Sc. in Artificial Intelligence at the University of Santiago de Compostela.

Professional Experience

• Research Collaborator, CiTIUS – Centro Singular de Investigación en Tecnoloxías Intelixentes (USC, Spain).
• Data Scientist, QUASH.ai (financial technology startup company).
• Associate (Risk Assurance Services), PwC Venezuela.

Education

• M.Sc. in Artificial Intelligence (in progress), University of Santiago de Compostela (USC), Spain.
• B.Sc. in Systems Engineering, Universidad Metropolitana (Venezuela).

Research and Publications

Cortiñas co-authored “Mask-net: Detection of Correct Use of Masks Through Computer Vision” (presented at the LatinX in AI workshop of ICML 2021). In this work, his team built two convolutional neural network models (Mask-net and I-Mask-net) using transfer learning with a pretrained MobileNet backbone. They compiled custom image datasets (KLD with ~11,000 images and IMKLD with ~1,800 images) covering correct, incorrect, and no-mask cases for training and validation. The trained models achieved about 85% accuracy in classifying mask usage. This publication highlights Cortiñas’s expertise in deep learning and computer vision.