Summary
Carlos Barceló is a Data Engineer and Data Scientist with 10 years of experience building production-ready ML and AI solutions across telecom, energy and enterprise clients from Seville. He has delivered end-to-end systems using Spark, PySpark, Azure Functions, LangChain and LLM-driven RAG architectures, and has practical expertise deploying multi-agent AI, observability and secure APIs in cloud environments. At clients like Telefónica and Endesa he combined classical ML, NLP and time-series work with deep learning frameworks (Keras, PyTorch) to drive fraud detection, customer segmentation and predictive analytics. He also teaches Data Science bootcamps, translating complex techniques into accessible learning, and is known for automating agent creation pipelines that let non-technical users configure intelligent assistants. Quietly curious and constantly learning, he pairs a solid software engineering background (Ingeniería Informática) with a Master in Data Science and a strong Python-first development style.
10 years of coding experience
7 years of employment as a software developer
University of Seville
Spanish, English