Summary
Sara López is an AI & MLOps Engineer with 11 years of experience applying scientific rigor to solve complex decision-making problems and take models from PoC to production. Based in Cádiz, she blends hands-on expertise in Python, R, SQL, Docker, and cloud platforms (AWS, GCP/Vertex AI) with MLOps tooling like MLflow, Prefect and GitHub Actions to build scalable, reproducible pipelines. Her background spans industry roles and research, including behavioral experiments in academia and mentoring data science students, which gives her an unusual combination of experimental design and production engineering skills. At INSUS she drives AI-driven automation and scalable architectures, while freelance and Adevinta roles sharpened her ability to deliver actionable analytics for product and advertising teams. She also works with LLMs (prompt engineering, RAG) and lightweight deployment stacks (FastAPI, Pytest), ensuring models are both useful and robust in real settings. Active on GitHub, she keeps a practical portfolio that reflects curiosity-driven projects and a preference for reproducible, well-tested solutions.
10 years of coding experience
2 years of employment as a software developer
Data Analytics & Machine Learning Bootcamp, Data Analytics & Machine Learning Bootcamp at Ubiqum Code Academy
Postgraduate certificate Statistics Statistics, Postgraduate certificate Statistics Statistics at Universidad Nacional de Educación a Distancia - U.N.E.D.
Spanish, English