Carlos Quijano is a Data & AI Tech Lead with 13 years of experience building cloud-agnostic, reusable data products and reference architectures across consultancy and public sector engagements. He currently leads Neoris’ efforts to create a collaborative data ecosystem—driving initiatives like NEO Data Marketplace, NEO Data Clean Room and a suite of extensible tooling that balances product ownership with Agile coaching. Previously he shaped AI and cloud strategies at Devoteam G Cloud and advised municipal AI adoption and security for Getafe, blending technical delivery with regulatory and sustainability considerations. His background spans bioinformatics research, Big Data platform engineering and developer enablement, giving him a rare mix of scientific rigour and production-grade systems design. Known for promoting reuse and customization over lock-in, he focuses on making complex AI capabilities practical for clients at scale. Based in Madrid, he pairs PhD-level analytics experience with hands-on leadership in product, training and architecture.
13 years of coding experience
23 years of employment as a software developer
Master in Big Data and Data Science, Big Data, Data Science, Master in Big Data and Data Science, Big Data, Data Science at Universidad Autónoma de Madrid
Sciences Graduate, Chemistry, Sciences Graduate, Chemistry at Universidad Complutense de Madrid
Business Process Engineering, Ingeniería informática + dirección de empresas., Business Process Engineering, Ingeniería informática + dirección de empresas. at Several institutions, lifelong and independent learning.
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