Summary
Sebastian Arango is an applied scientist with 11 years of experience blending machine learning research and practical engineering across industry and academia, currently at AWS and completing a PhD in Computer Science at the University of Freiburg. He has a strong foundation in time-series and meta-learning from a master's thesis at Volkswagen and hands-on experience deploying ML in production from roles at AWS, Huawei, and data science work for business use cases. Comfortable with both research and product constraints, he has worked on SLAM, optical odometry, battery modeling, and failure/churn prediction using Python, R and cloud platforms. Based in Berlin, he combines rigorous mathematical instincts with pragmatic engineering to turn data into actionable systems that boost human and business capabilities. A sometime educator and long-standing researcher, he brings uncommon breadth—from embedded electronics and robotic vision to large-scale cloud ML—bridging theory and real-world impact.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at The University of Freiburg
Electronics Engineer, Electronics Engineer at Universidad de Antioquia
Msc. Data Analytics, Msc. Data Analytics at Stiftung Universität Hildesheim
Exchange Semester Electronic engineering, Exchange Semester Electronic engineering at Technische Universität Dresden
German, English, Spanish