Machine Learning Engineer at Centro Nacional de Inteligencia Artificial (National Center of Artificial Intelligence)
Chile
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Summary
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Senior
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Top School
Francesca Lucchini is a Machine Learning Engineer with 11 years of experience building end-to-end AI software, currently leading a multidisciplinary team at Chile’s National Center of Artificial Intelligence to deploy computer vision and time-series solutions for Smart Cities. She combines hands-on MLOps expertise—Kubeflow, MLflow, Jenkins X, Kubernetes on AWS—with applied research interests in graph neural networks and anomaly detection, and is completing a master's thesis in machine learning. Francesca has a strong teaching and mentorship background from roles at Pontificia Universidad Católica de Chile, where she taught programming, big data, and HPC topics and designed practical coursework using Python, GeoPandas, NetworkX and scikit-learn. Her work spans from data engineering and model training to production pipelines and quantitative metrics for policy-driven projects, reflecting a rare mix of academic rigor and production-grade delivery in public-sector initiatives.
11 years of coding experience
1 year of employment as a software developer
Master's Degree, Machine Learning, Master's Degree, Machine Learning at Pontificia Universidad Católica de Chile
High School Diploma, Physics, High School Diploma, Physics at Sagrado Corazón Monjas Inglesas, Santiago, Chile
Contributions:2 pushes, 1 branch in 4 years 9 months
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Francesca Lucchini - Machine Learning Engineer at Centro Nacional de Inteligencia Artificial (National Center of Artificial Intelligence)