Javier Pozo

Supported applied machine learning coursework and guided students in statistical modeling, experimental design, and reproducible research workflows.

Developed end-to-end ML pipelines including feature engineering, model training, evaluation, and deployment, achieving strong predictive performance on classification systems.

Designed and deployed machine learning models and Python-based APIs for real-time inference, improving predictive performance and supporting scalable production systems.