Lorenzo Pazienza

Bio

Undergraduate student in Management and Artificial Intelligence at LUISS Guido Carli University and Visiting Student at Stanford University.

At Stanford, I am taking Machine Learning, Convex Optimization I, and High-Performance Computing & AI Systems, strengthening my focus on machine learning, optimization, scalable computation, and AI systems.

My work focuses on applied AI systems, semantic retrieval, graph-based analytics, and full-stack AI application development. I am interested in building AI systems that combine models, optimization methods, data pipelines, retrieval architectures, backend infrastructure, evaluation methods, and real-world deployment constraints.

My project experience includes financial risk modeling, topology-aware semantic retrieval, graph and spectral methods, and applied AI evaluation workflows.


Linkedin: https://www.linkedin.com/in/lorenzo-pazienza/

Github: https://github.com/lorenzopazienza