Eduard Claramunt is an AI Solutions Architect and founder with 11 years of engineering experience, specializing in Python-driven ML systems and MLOps for reliable model deployment and monitoring. He builds privacy-first, RAG-based AI solutions and has moved from hands-on Drupal and full-stack development to leading ML strategy and productionization efforts. Comfortable across TensorFlow, PyTorch, containerized pipelines and Agile practices, he blends deep engineering craft with technical leadership to operationalize models at scale. A master's student in AI with a Computer Engineering degree, he pairs academic grounding with practical open-source contribution experience from his early Drupal work. Based in Barcelona, he brings a rare combination of web platform architecture and ML deployment know-how that helps teams turn experiments into measurable, production-grade features.
11 years of coding experience
8 years of employment as a software developer
Computer technician in networks and systems administration, Network and System Administration/Administrator, Computer technician in networks and systems administration, Network and System Administration/Administrator at Institut Caparrella
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at VIU - Universidad Internacional de Valencia
Degree in Computer Engineering with Mention in Information Technologies, Computer science, Degree in Computer Engineering with Mention in Information Technologies, Computer science at Universitat de Lleida
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