Summary
Sebastian Pina-otey is a Senior Data Scientist and physicist with a decade of experience building end-to-end ML solutions, from database engineering to productionized deep learning and time-series forecasting. He combines academic rigor from a PhD and postdoc in physics with hands-on industry work deploying Azure/Snowflake, Qdrant RAG pipelines, and cloud-native Dockerized products. At Dribia he has led recommendation systems, product tagging with LLMs, demand forecasting and promotion targeting, while previously developing graph neural nets and density estimators for neutrino experiments. Equally comfortable in research and product teams, he brings strong Agile discipline, cross-team communication, and a knack for translating complex models into robust, deployed services. Outside data science he channels creativity into indie game development—designing AI-driven gameplay and custom physics in Unity—which underscores his interest in socially impactful or narrative-driven projects.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Universitat Autònoma de Barcelona
Okinawa School in Physics: Coherent Quantum Dynamics Physics, Okinawa School in Physics: Coherent Quantum Dynamics Physics at Okinawa Institute of Science and Technology
Computer Science and Data Analysis, Computer Science and Data Analysis at Udacity
Spanish, German, English, Catalan, French