Georg Grab is a machine learning engineer with a decade of experience building and shipping large-scale ML systems across startups and enterprise, currently focused on foundation model training and inference at Prior Labs. He helped lead agentic AI and global orchestration platforms at Apple, scaling inference orchestration to handle 30k+ requests within tight SLOs and managing cross-timezone engineering teams. His academic background in Math & CS from Heidelberg and research stints at MPI-IS and DKFZ give him a solid grounding in human-AI collaboration and reproducible medical imaging research. Previously he drove clinical-grade ML product engineering at Optellum, contributing to the FDA 510(k) pathway and ISO 13485 technical files—experience that informs his pragmatic approach to deploying models in regulated domains. Based in Freiburg, Georg combines systems-level thinking with hands-on ML infrastructure expertise, with a particular interest in the operational challenges of getting models reliably into production.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Scientific Computing, Master of Science - MS, Scientific Computing at Heidelberg University
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at DHBW Stuttgart
Abitur, Information Technology, Abitur, Information Technology at Karl-Arnold Schule Biberach
Flutter Plugin providing Bindings to Android's JobScheduler API
Contributions:25 commits, 1 PR, 21 pushes in 6 months
apidartandroidjobschedulerflutter-plugin
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Georg Grab - Machine Learning Engineer at Prior Labs