Research and computing
Scientific computing and AI experience
Andrea brings research-grade software practices to complex technical work, from data analysis and distributed computing to artificial intelligence workloads on large computing systems.
Experience that connects research and delivery
Andrea earned a doctorate in physics and astrophysics from the University of Milan. He has worked at the San Diego Supercomputer Center since 2013, helping researchers use high-performance computing resources and teaching Python for high-performance computing.
His work spans distributed data processing, scientific Python, cloud platforms, Kubernetes, JupyterHub, and artificial intelligence workflows. This background is useful when a project needs more than a generic software integration, including careful data handling, reproducible analysis, performance testing, or custom model workflows.
Scientific software
Design, review, and improve Python software for analysis, simulation, automation, and repeatable research workflows.
Supercomputers and cloud systems
Plan workloads that use parallel computing, distributed systems, containers, Kubernetes, and interactive research platforms.
Artificial intelligence workflows
Develop and evaluate model-based systems, including language-model and neural-network workflows, with appropriate testing and human review.
Technical translation
Connect research requirements with practical software decisions, documentation, deployment, and operations.
Zonca AI Consulting is Andrea Zonca’s private consulting service. It is independent from and not endorsed by the University of California San Diego.