Summary
Tim Herbstrith is a manager and consultant focused on human-centric AI with 11 years of experience driving digital transformation in rail and logistics from Vienna. He has built proofs of concept and production-oriented solutions—most notably a multi-agent reinforcement learning system for real-time train rescheduling and disposition engineering for damaged wagons to reduce life-cycle costs. Combining an MSc in Mathematics and engineering/industrial management training, he bridges rigorous quantitative methods with pragmatic software and product engineering. His background includes designing test strategies for complex tolling/order systems and teaching Python, LaTeX, and Mathematica at the University of Vienna, which speaks to his ability to communicate technical concepts clearly. Colleagues value him for translating academic-grade modeling into deployable operations improvements and aligning AI initiatives with user-centered workflows. He brings a rare mix of domain expertise in transportation logistics, formal analytical training, and hands-on consulting execution.
11 years of coding experience
Bachelor of Science (B.Sc.), Mathematics, 1.0, Bachelor of Science (B.Sc.), Mathematics, 1.0 at University of Vienna
Ing., Engineering/Industrial Management, 1.0, Ing., Engineering/Industrial Management, 1.0 at Technologisches Gewerbemuseum
German, English, Swedish