Darwin Sucuzhañay

Explainable Artificial Intelligence (XAI).Global and local post-hoc methodologies.Latent space representation.Layer-wise Relevance Propagation (LRP), LRP Composite, Grad-CAM, Grad-CAM++.Spectral Relevance Analysis (SPRAY).Development of an application that takes a trained convolutional neural network (CNN) and a dataset as inputs and generates global and local explanations of the CNN's decision-making process.

Bug correction, maintenance, and development of new features in production software (Industrial automation).Collaboration with development teams for software integration (REST API).Development of an application to process time series data and identify suspicious data using predefined states and rules (Data Quality Analyzer).Code cleaning and optimization, including vectorization and functional programming.