Unai Maestre is an LLM Engineer with eight years of experience building production-grade ML and NLP systems, currently automating incident triage and AI-driven mission planning at TEKEVER. He previously led NLU platform development at Sorcero, turning raw scientific text into structured, ontology-enriched assets for downstream QA, summarization, and disambiguation. His background spans end-to-end solutions from deep learning on mobile/cloud (lottery ticket validation) to enterprise ticketing analytics and skill inference at Accenture, and he co-authored a robotics-focused AI book. Comfortable bridging research and engineering, Unai designs hybrid real-time/offline AI workflows and RAG-enabled pipelines that translate complex domain needs into scalable products. Based in Alicante, he pairs strong academic credentials with hands-on deployment experience, often favoring practical, interpretable models in mission-critical contexts.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science - High Acamedic Performance group, Bachelor's degree Computer Science - High Acamedic Performance group at Universitat d'Alacant
Computer Engineering, Computer Engineering at Technological University of the Shannon, Athlone Campus
Master of Artificial Intelligence Artificial Intelligence , Master of Artificial Intelligence Artificial Intelligence at VIU - Universidad Internacional de Valencia
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