Summary
Mateo Pava is a data scientist and deep learning engineer based in Düsseldorf with nine years of hands-on experience applying AI to medical and commercial problems. He combines an MSc in Medical Engineering (medical robotics specialization) and a strong mechatronics background to build and deploy efficient models—from forecasting demand and prices in industry to image classification on low-power microcontrollers for medical sensors. Mateo has worked across research and product environments including Fraunhofer IIS, DLR, DATUP.ai and FAU, translating prototype research into production-ready dashboards and embedded deployments. He is motivated by continuous learning and practical impact, often bridging signal processing, feature engineering and explainability to make models more actionable for stakeholders. Fluent in German and experienced in cross-disciplinary teams, he brings a pragmatic, family-driven work ethic and a knack for shipping solutions in resource-constrained settings.
9 years of coding experience
4 years of employment as a software developer
German language course- B2, German language course- B2 at Carl Duisberg Training center in Cologne
MSc in Medical Engineering - Medical Robotics Specialization, 1.6, MSc in Medical Engineering - Medical Robotics Specialization, 1.6 at FAU Erlangen-Nürnberg
Bachillerato, Bachillerato at Colegio mayor de occidente - Facatativá
BSc in Mechatronics Engineering, 4.5/5, BSc in Mechatronics Engineering, 4.5/5 at Universidad Nacional de Colombia
Mechatronik, Mechatronik at Karlsruher Institut für Technologie (KIT)
English, German, Spanish