Moritz Krügener
Senior Engineering Team Lead at Aignostics
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMoritz Krügener is an engineering team lead and senior software engineer in Berlin with eight years of experience building high-performance ML systems and production deployments in digital pathology at Aignostics. He combines a strong HPC and computational-science background—from C++/CUDA work on SuperMUC and sensitivity-analysis research at TUM—to practical ML engineering and CI-driven productionization. His career spans industry and academia (SAP, Capgemini, ISAE‑SUPAERO) and shows a pattern of moving research-grade models into scalable products. Moritz is skilled at bridging low-level performance optimization with modern ML stacks, making him as comfortable tuning MPI/OpenMP code as orchestrating model deployments. Outside day-to-day engineering he has led student teams and taught advanced C++, reflecting both technical depth and mentorship instincts. Amalgamating physics, computational engineering, and production ML gives him a rare perspective on deploying numerically intensive models in real-world healthcare settings.
8 years of coding experience
8 years of employment as a software developer
Physics, Physics at The University of ManchesterBachelor of Science (B.Sc.) Physics, Bachelor of Science (B.Sc.) Physics at Freie Universität BerlinJunior Studies in Law and Psychology, Junior Studies in Law and Psychology at University of MünsterMaster of Science - MS Computational Science and Engineering (Hons.), Master of Science - MS Computational Science and Engineering (Hons.) at Technical University of MunichArchitecture, Architecture at Technische Universität Berlin
English, German, French, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (37)
simulation10
acl10
molecular-dynamics-simulation10
rbac9
entitlements9
security9
extensibility9
authorization9
scientific-computing9
abac9
fine-grained-authorization9
database9
zanzibar9
batch-processing8
k8s8
Programming languages (5)
Github contributions (5)
AutoPas/PerformanceTesting
Jun 2019 - Nov 2020
Contributions:24 PRs, 174 pushes, 14 branches in 1 year 5 months
performance-monitoringcdci
kruegener/AutoPas
Aug 2019 - Nov 2019
Autopas is a node-level auto-tuned particle simulation library developed in the context of the TaLPas project.
Contributions:21 PRs, 1 push, 1 branch in 2 months
physicsparticlesimulationsimulation-librarytuned
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