Jorge Sánchez is an AI Engineer with 11 years of experience specializing in backend and big data systems, currently focused on AI work at Acoru. He has a strong track record building fault-tolerant, real-time distributed pipelines using Scala, Apache Spark, NoSQL, Kafka and functional programming practices honed during roles at Thrive Global, Zooplus and Rakuten. Comfortable bridging data engineering and machine learning, he repeatedly delivers scalable processing systems and production-ready ML integrations. His background includes mainframe and consultancy work, giving him a pragmatic appreciation for operational reliability and legacy interoperability. Based in Spain and shaped by an Erasmus stint in Gothenburg, he combines academic breadth with hands-on engineering depth and a curiosity for Erlang-style fault tolerance that informs his designs.
11 years of coding experience
13 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
erasmus Computer Science, erasmus Computer Science at University of Gothenburg
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