Ing Cramer is an engineering manager and researcher with nine years of experience blending Bayesian machine learning, probabilistic modeling, and cloud-native infrastructure to industrialize AI for manufacturing. Based in Aachen, he has led cross-functional teams of up to ten engineers, designed and secured HPC Kubernetes clusters with CI/CD and ML workflow orchestration, and driven 10+ national and international research projects from funding through delivery. His work sits at the intersection of IIoT, cloud computing and LLM-driven applications, reflecting a commitment to democratizing AI for non-specialists and translating research into scalable products. With a PhD-focused background in computational engineering and hands-on experience building high-performance simulators and production ML systems, he combines academic rigor with pragmatic engineering leadership. An observant detail: his path from econophysics and agent-based simulators to manufacturing AI gives him uncommon depth in both stochastic modeling and real-world deployment constraints.
9 years of coding experience
12 years of employment as a software developer
Erasmussemester, Erasmussemester at Ecole Centrale de Marseille
Ph.D. (Dr.-Ing.), Chair of Intelligence in Quality Sensing | WZL, Ph.D. (Dr.-Ing.), Chair of Intelligence in Quality Sensing | WZL at RWTH Aachen University
Contributions:1 release, 5 commits, 2 PRs in 1 day
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Ing Cramer - Engineering Manager Data & Machine Learning