About Francisco
Francisco designs, trains and deploys machine learning, deep learning and computer vision models for clients across multiple industries. He leads the full cycle: from data preprocessing and feature engineering to deployment and monitoring in production.
He builds end-to-end MVPs — mobile, web, APIs and smart contracts — with stacks such as Angular, React, FastAPI and Flask. For modeling he uses TensorFlow, PyTorch, YOLO and OpenCV for computer vision, and Random Forest, LightGBM, Scikit-learn and pandas for classic predictive models.
His master's thesis (Universidad de Chile) addressed compact representations for multiband astronomical time series — a scientific perspective he applies daily to solve industrial problems.
Meet the team
