Summary
Jorge Cremades is a Lead Data & AI Engineer based in Madrid with 11 years of experience building production-grade machine learning, data engineering and analytics platforms across startups and consulting. He combines hands-on expertise in Python, BigQuery/DBT, Vertex AI and MLOps orchestration (Dagster) with a track record of optimizing costly financial and operational models to improve forecasting and reduce risk. Jorge has delivered bespoke solutions—from a vehicle-driver scheduler using OR-Tools to a scalable online Feature Store and standardized ML pipelines—demonstrating an ability to learn new tools quickly and tune systems for large-scale performance. His background in consulting (Deloitte) and finance-focused engineering roles means he bridges business strategy and technical delivery, now transitioning toward management and strategic leadership. Outside work he ships user-facing apps (Temporadapp, IG Tracker, Can My Cloud Fetch It?) and experiments with Flutter, underscoring a product-minded approach and entrepreneurial ambition. He aspires to found a scalable, user-focused company and brings both the technical depth and operational experience to do so.
11 years of coding experience
5 years of employment as a software developer
Master of Science in Business Analysis & Consulting Consulting, Master of Science in Business Analysis & Consulting Consulting at IÉSEG School of Management
Bachelor's degree in Computer Science, Bachelor's degree in Computer Science at University of Hertfordshire
Bachelor's degree in Computer Science Theory of computation & Artificial Intelligence, Bachelor's degree in Computer Science Theory of computation & Artificial Intelligence at Universidad Complutense de Madrid
Master's degree in Artificial Intelligence Artificial Intelligence, Master's degree in Artificial Intelligence Artificial Intelligence at Universidad Politécnica de Madrid
Spanish, English, French