Teaching Assistant at Universitat Politècnica de Catalunya
Barcelona, Catalonia, Spain
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Summary
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Rockstar
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Andino Börst is a PhD student and teaching assistant based in Barcelona with a strong foundation in mechanical engineering (RWTH Aachen) and advanced training in numerical methods (UPC). Over four years he has bridged academia and industry—working on data-driven constitutive modeling and HPC-enabled Material Point Method research, while delivering production-ready data science solutions at SEAT CODE, including real-time AWS big-data pipelines and predictive maintenance prototypes. His work blends computational mechanics, machine learning, and uncertainty quantification, exemplified by a master’s thesis coupling stamping-process UQ with crash simulations and top grades on applied research projects. Comfortable moving from low-level simulation frameworks to cloud deployment and dashboards, he brings both hands-on engineering and scholarly rigor to multidisciplinary problems. An understated strength is his track record of turning complex simulation and streaming data into actionable tools that cut costs and speed decision-making.
4 years of coding experience
2 years of employment as a software developer
German European School Singapore
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at RWTH Aachen University
High School Diploma, High School Diploma at German International School Dubai
Mechanical Engineering, Mechanical Engineering at National University of Singapore
Contributions:24 pushes, 1 branch in 2 years 9 months
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Andino Börst - Teaching Assistant at Universitat Politècnica de Catalunya