Summary
Toni Cebrián is a seasoned data scientist and software engineer with 11+ years building large-scale data products, recommender systems and ML pipelines across startups and enterprise teams. Comfortable in C++ roots and increasingly fluent in functional languages like Scala and Haskell, he combines low-level performance engineering with modern data-stack practices (Hadoop/MapReduce, Airflow, Python). He has led and architected data functions as Head of Data Science at Stuart and as Chief Data Officer for IoT analytics, and now operates as a freelance Toptal consultant and founder of a data science DAO. His work focuses on extracting actionable insights from high-volume user and sensor data to enable personalized products and operational forecasting. Based in Barcelona, he blends academic teaching experience with hands-on production deployments, often bridging research-grade algorithms and pragmatic engineering.
11 years of coding experience
19 years of employment as a software developer
Ingeniero Técnico en Telecomunicaciones Esp. Sistemas Electrónicos, Telecommunications, Ingeniero Técnico en Telecomunicaciones Esp. Sistemas Electrónicos, Telecommunications at University of Valencia
UPC Universitat Politècnica de Catalunya
Spanish, English, Catalan