Summary
Gabriel Previato is a software developer with 10 years’ experience building high-performance systems for scientific and medical contexts, currently developing cross-platform C++/Qt software for KARL STORZ surgical and diagnostic devices. His background blends software engineering, data infrastructure and applied machine learning—ranging from control software for synchrotron experiments to BI pipelines at Bosch and wearable biosignal classification research with Samsung. He focuses on reliability, performance, and usability under strict regulatory constraints, translating complex technical challenges into practical tools that clinicians can trust. Gabriel has a track record of automating reporting and integrating ERP/quality data to speed decision-making, and he brings hands-on experience with signal processing and real-time perception from robotics research. Comfortable collaborating across multidisciplinary teams, he prioritizes measurable impact on workflows and patient outcomes. Based in Stuttgart with an Ingenieur Diplom in Computer Engineering, he’s particularly interested in the intersection of software, data, and AI to advance minimally invasive surgery and diagnostics.
10 years of coding experience
6 years of employment as a software developer
Ingenieur Diplom, Computer Engineering, Ingenieur Diplom, Computer Engineering at Universidade Estadual de Campinas
Portuguese, English, German