Summary
Gabriel Neil is an MLOps Engineer with nine years of experience building production-grade ML and AI agent platforms, currently based in Madrid and now at Baxter Planning. He has led end-to-end MLOps implementations across computer vision, time series, and fintech use cases at Teknoir, Konfío and Mercado Libre, combining hands-on data engineering, Kubernetes-based deployment, and model delivery roadmaps. Gabriel is fluent in bridging data science and engineering teams to automate pipelines, scale models to edge devices, and design databases for high-volume time series and model assets. Known for translating complex fraud-prevention and lending analytics into production systems, he pairs practical product impact with technical leadership. An engineer by training with an arts background, he brings a rare blend of technical rigor and creative perspective to AI platform design.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree Arts, Bachelor's degree Arts at Dr. René Favaloro
Engineer's degree Information Systems Engineering, Engineer's degree Information Systems Engineering at Universidad Tecnológica Nacional
Spanish, English