Summary
Carlos Gómez is a Generative AI Engineer with 15 years of experience building production-ready ML and data systems, currently applying LLMs, RAG architectures and intelligent agents at Getinge. He has led data science teams at BBVA and delivered end-to-end solutions spanning Python, PyTorch/TensorFlow, LangChain, LlamaIndex, Spark and cloud platforms (GCP, Azure). Comfortable across research and engineering, he combines hands-on model work (chatbots, assistants, agents) with big data pipelines and MLOps tooling including Docker and Kubernetes. His background in actuarial science and advanced machine learning gives him a strong quantitative foundation for applied AI in regulated and enterprise contexts. A pragmatic educator and mentor, he has also taught entrepreneurship and analytics, and—less obviously—enjoys coding in Haskell, reflecting a taste for functional programming and elegant solutions.
15 years of coding experience
4 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Universidad Nacional Autónoma de México (UNAM)
English, French, griego