Machine Learning Architects Basel
Samuel Rupprechter is a Solution Architect at Machine Learning Architects Basel since February 2022. Previously, Samuel served as a Research Scientist at Machine Medicine from September 2020 to February 2022, and as a Researcher PhD Student at The University of Edinburgh from October 2016 to May 2020. Samuel began professional experience as a Lab Assistant and Software Developer intern at Collegium Helveticum, ETH Zürich, in July 2013. Samuel holds a Ph.D. in Informatics with a focus on Machine Learning, Computational Neuroscience, and Computational Biology from The University of Edinburgh, earned between 2016 and 2020, a Master’s Degree in Informatics from the same institution in 2016, and a Bachelor’s Degree in Informatics from Universität Innsbruck from 2012 to 2015.
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Machine Learning Architects Basel
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable machine learning solutions. In doing so, our effective framework enables us to take a novel and holistic approach. It revolves not only around the latest technologies but also takes cultural aspects, skills, and process adjustments into account. We thereby: 1) Digitalize and automate processes with bespoke data and AI solutions, from use case identification to implementation and operation (MLOps). 2) Engineer, design, and implement unified analytics platforms and end-to-end ML systems. 3) Enable both technical and non-technical teams and individuals to leverage data science, ML, and reliability engineering in an end-to-end fashion.