Summary
Gabriel Tavernini is a Computer Science master's student at ETH Zürich and a software engineer with eight years of experience focused on backend development and machine learning. He has interned at Databricks and Amazon, where he extended internal tooling for ML workflow deployments, and has built production-facing backend systems for trading and local gig platforms. His background blends academic ML research—having analyzed medical imaging and genetic data at FBK—with hands-on mechatronics and hobbyist electronics, still tinkering with Arduinos and RC gear. Comfortable across API design, rate-limit optimization, and data-driven models, he shifts easily between prototyping and productionization. Fluent in international settings after studies in Milan and an exchange in Hong Kong, he brings both startup agility and enterprise engineering experience to ML-infused backend systems.
8 years of coding experience
2 years of employment as a software developer
High School Diploma Computer Science, High School Diploma Computer Science at ITT Buonarroti Trento
Bachelor's degree Computer Science and Engineering, Bachelor's degree Computer Science and Engineering at Politecnico di Milano
Master of Science - MS Computer Science, Master of Science - MS Computer Science at ETH Zürich
Hong Kong University of Science and Technology (HKUST)
Italian, English