Stefano Lia is a Senior Data Scientist based in Prague with 9 years of experience building production-grade data platforms and ML models that power trading operations. He combines hands-on engineering—deploying Kubernetes on Azure, orchestrating Airflow pipelines, and managing Postgres/Datalake systems—with practical model deployment to support live strategies. His background spans performance engineering and IoT prototyping, giving him a pragmatic focus on monitoring, reliability, and efficient data capture. Stefano holds top honors in Computer Science (MSc and BSc) from the University of Padua and expanded his data science training through an Erasmus at the University of Helsinki. He is known for improving data observability and stream reliability as much as for model accuracy, often bridging the gap between ops and research. Fluent in Python-driven data engineering, he thrives on turning noisy market data into robust, auditable insights.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science - AI, 110/110 cum laude, Master's degree, Computer Science - AI, 110/110 cum laude at Università degli Studi di Padova
Erasmus +, Master's Degree in Data Science, Erasmus +, Master's Degree in Data Science at University of Helsinki
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