Giovanni Menegozzo is a Team Lead AI based in Bassano del Grappa with eight years of experience building production-grade ML systems and leading cross-functional teams. He currently heads AI solutions for the accounting sector, delivering RAG, NLP and AML systems while mentoring a team of highly skilled engineers. His background spans industrial applications—from causal inference and uplift modeling for glass manufacturing KPIs to in-line predictive systems for continuous processes—paired with hands-on MLOps (Docker, MLflow, Evidently). Giovanni holds a PhD in Computer Science and has long-standing research collaborations in robotics and surgical motion analysis, reflecting a strong bridge between academic rigor and applied engineering. He publishes and maintains an active GitHub presence and a personal site showcasing projects, underscoring a practice of open exploration beyond his client work. Known for turning complex time-series and multimodal data into operational models, he brings both technical depth and pragmatic delivery to high-impact AI products.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università degli Studi di Verona
Continuous Industrial Process datasets for benchmarking Causal Discovery methods
Contributions:11 commits, 5 pushes, 4 comments in 3 months
benchmarkingcausal-discovery
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