Summary
Elvin Gómez is an AI Engineering Lead Architect and founder with eight years of experience building production-grade GenAI systems that bridge demos and real-world impact across logistics, healthcare, insurance and digital services. He blends architectural leadership with hands-on engineering to deliver low-latency voice agents, retrieval-augmented pipelines with built-in evaluation and observability, and multi-agent workflows tied directly to KPIs like latency, accuracy and reliability. Known as an engineering-first practitioner, he focuses on context engineering, CI/CD for LLMs, IaC and operational governance rather than chasing model hype. Elvin regularly steps into high-pressure delivery phases to stabilize performance, rescue failing implementations and upskill teams, and he packages internal tools (e.g., Kontxt) to standardize memory, versioning and evaluation. Based in Sant Cugat del Vallès, he also teaches AI engineering publicly and moonlights analyzing MotoGP telemetry—an unusual data-science hobby that informs his instincts for real-time system design.
8 years of coding experience
11 years of employment as a software developer
Nanodegree Machine Learning, Nanodegree Machine Learning at Udacity
UOC (Universitat Oberta de Catalunya)
Web Development, Web Development at Ironhack
Grado en psicología Psicología, Grado en psicología Psicología at Universitat de Barcelona
Deep Learning Specialization Inteligencia artificial, Deep Learning Specialization Inteligencia artificial at Saturdays.AI
Spanish, English, Catalan