Stefano Silvestri is a software developer with a decade of experience who leverages a strong mathematical background to design efficient, well-documented automation and data-analytics solutions. He specializes in Bash, Python and SAS macro scripting to migrate and optimize analytics platforms—most recently helping customers transition SAS deployments to cloud-integrated data lakes and contributing to the open-source sasctl project. Comfortable working at the intersection of analytics and engineering, he builds production-ready pipelines, decisioning templates and performance-tuned SAS workflows while emphasizing maintainability and reproducibility. Formerly an academic researcher and instructor in dynamical systems, Stefano brings rigorous problem-solving, clear technical communication, and a habit of translating complex business logic into reproducible code.
10 years of coding experience
9 years of employment as a software developer
Master of Arts (M.A.), Mathematics, Master of Arts (M.A.), Mathematics at Boston University
Summer School in Dynamical Systems, Summer School in Dynamical Systems at University of Houston
Mathematical Sciences Research Institute (MSRI)
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at Purdue University
Mathematics, Mathematics at Technical University of Budapest
Graduate School in Dynamics of Holomorphic Maps, Graduate School in Dynamics of Holomorphic Maps at Scuola Matematica Interuniversitaria (SMI) - Cortona, Italy
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