COMPREDICT
Dominik Fleischmann is a seasoned professional in the field of machine learning operations (MLOps) and software engineering, currently serving as a Senior MLOps Engineer at COMPREDICT since January 2024. Prior to this role, Dominik worked as a Software Engineer focusing on MLOps at Nuclia from May 2023 to November 2023 and managed the 1.7 Release Team for Kubeflow from September 2022 to April 2023. Dominik's experience includes an Engineering Manager position for MLOps and Kubeflow at Canonical, along with roles as a Software Engineer in Kubernetes and orchestration frameworks. Before Canonical, Dominik contributed as a Software Engineer at GMV and as a Software Developer and Researcher at Seven Eighths. Dominik holds a degree in Computer Engineering from Universidad Complutense de Madrid.
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COMPREDICT
COMPREDICT‘s virtual sensors and health & usage monitoring provide unique insights of vehicle usage and behavior without additional hardware for all sectors of mobility. Our solution is currently used in applications with 2 up to 18 wheel vehicles – and even trains. The virtual sensors measure the real dynamic behavior of components likesteering, brakes, powertrain and battery, regardless of whether the vehicle is a prototype or a series product, for a single vehicle or an entire fleet. We close the feedback loop between product development, in-use behavior or fleet management and service operations. With COMPREDICT, optimized component design and maintenance allow our customers to reduce weight, CO2 emissions and environmental impact over the whole product lifecycle.