AI Engineer | Senior Data Scientist | Machine Learning

I am an AI Engineer and Senior Data Scientist with more than 8 years of experience delivering production-grade machine learning systems in the banking sector. My background is centered on credit risk modeling, AML detection, recommendation systems, and MLOps, with a strong focus on building solutions that scale reliably in real-world environments.

I have worked extensively with AWS services such as SageMaker, S3, Athena, EC2, CloudWatch, Lambda, Glue, and RDS, and I have hands-on experience deploying models, managing data pipelines, and monitoring production systems. I also build RAG pipelines, LLM-powered APIs, and end-to-end MLOps platforms using tools like MLflow, DVC, Docker, Kubernetes, Jenkins, and CI/CD workflows.

In my recent roles, I have contributed to government-scale data platforms, taught machine learning to students, and developed scoring and propensity models for major financial institutions. My work has supported compliance, audit, customer targeting, and operational planning, while consistently achieving strong model performance in production.

I am currently completing a Master’s degree in Artificial Intelligence while working full time, which reflects my ability to learn continuously and perform under pressure. I also hold a Bachelor’s degree in Systems Engineering and a specialization in Financial Institutions Management, which complement my technical and business-oriented approach.

Beyond industry work, I have built several practical projects such as a Financial RAG Assistant, a churn prediction platform, and a credit risk MLOps platform. These projects demonstrate my ability to design full machine learning solutions from data preparation to deployment and monitoring.

I am fluent in Spanish and English, and I am seeking senior ML/AI opportunities in Europe, Canada, or remote settings. I bring a combination of technical depth, banking domain expertise, and a strong record of delivering impactful machine learning systems.