Data science, machine learning, and scientific software

Understanding complex systems through data and models.

I build data products that connect statistical rigor, machine learning, and production systems. My recent industry work includes recommender systems at Mercadolibre and data science leadership at Ithreex Global, after a long research and teaching career in astronomy, scientific computing, and large-scale data analysis.

20+ years Research, academia, and industry
30+ papers Peer-reviewed scientific production
ML in production Ranking, recommendations, experimentation
Team leadership Data science projects and mentoring

Current Focus

Machine Learning Systems

Recommendation strategies, ranking models, embeddings, feature engineering, experiment tracking, production rollout, A/B testing, and machine learning applied to scientific problems.

Data Science Leadership

Project design, stakeholder communication, team guidance, model evaluation, thesis direction, research collaboration, and delivery across industry and science.

Scientific Computing

Statistical learning, Bayesian inference, high-performance computing, reproducible pipelines, and open-source scientific software.

Selected Experience

2024-2026

Senior Data Science Machine Learning Engineer, Mercadolibre

Worked on production-scale recommendation systems, ranking, heterogeneous feature signals, MLflow workflows, and statistical experimentation.

2022-2024

Senior Data Scientist and Data Science Lead, Ithreex Global

Led data science projects involving computer vision, customer segmentation, churn modeling, forecasting, RAG systems, and internal Python libraries.

2005-present

Professor, Universidad Nacional de Córdoba

Teaching and mentoring in statistics, numerical methods, machine learning, simulations, computation, and data science.

2004-2022

Researcher, CONICET

Applied statistical learning, Bayesian inference, and HPC techniques to astronomical datasets and transient-event pipelines.

Where To Go Next