Benjamín Hector Cifuentes Vergara

I am an Informatics Engineering student who chose to pause university to focus fully on Machine Learning and Data Science. I now dedicate my full time to these fields: building end‑to‑end projects, studying core foundations and best practices, and turning notebooks into reproducible services ready for evaluation and deployment.

My main project, Latent Lens, is a production‑style recommendation system. It integrates FastAPI, Docker, and MLflow; implements collaborative filtering (SVD, KNN) and content similarity; evaluates with ranking metrics (Precision@K, Recall@K, MAP, NDCG); and includes automated tests with pytest. I emphasize engineering quality: clean data, clear pipelines, version control, documentation, and CI via GitHub Actions.

I work primarily with Python (pandas, NumPy, scikit‑learn, scikit‑surprise, Jupyter), design simple REST APIs with FastAPI/Uvicorn, use Docker for portability, and apply basic SQL for data preparation. I value reproducibility, direct communication, and measurable outcomes.

I am willing to learn whatever is necessary to master ML and Data Science. I am seeking an internship or junior (remote) role where I can deliver real value while continuing to grow. Languages: Spanish (native) and English B1, actively progressing toward B2.