Summary
Santiago Tarrío is a Senior Machine Learning Engineer based in Seville with a decade of experience building production ML systems across finance, FMCG and energy sectors. He has led teams and shipped scalable pipelines—migrating models to Databricks, orchestrating Spark-based LLM audio transcription at 10,000+ audios/day, and moving ETLs to Azure Functions and Storage. Comfortable across the stack, he pairs backend engineering (NodeJS, TypeScript, microservices) with deep learning work (TensorFlow/Keras, LLM fine-tuning) to take projects from research to reliable deployment. At GELT he combined product-focused NLP and CNN solutions with infrastructure improvements that enabled high-throughput receipt and retail prediction systems. Known for thriving under pressure, he brings both hands-on coding and pragmatic leadership to cross-functional teams. He also retains an academic grounding from Universidad de Sevilla, reflecting a long-term interest in machine learning and AI.
9 years of coding experience
6 years of employment as a software developer
University of Seville
Spanish, English, French