Gregor Ulm
Director Of Engineering Celonis Process Management & Process Modeling In Celonis
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolGregor Ulm is a senior engineering leader with 12+ years of experience building and scaling high-impact systems across fintech, e-commerce, automotive, aviation, and industrial research. He currently directs engineering for Process Management and Modeling at Celonis and has previously led large teams responsible for mission-critical platforms at Delivery Hero, Global Fashion Group, Zalando, and Klarna. Gregor blends a lean, Kanban-inspired delivery mindset with deep technical instincts—having invented a novel linear-time clustering algorithm (RASTER/S-RASTER) and built production tooling like PLC Factory used across the European Spallation Source. He routinely drives measurable improvements in reliability, performance, and cost (e.g., >40% AWS savings at GFG, major throughput gains at Klarna and Delivery Hero) while creating autonomous, high-performing teams. Comfortable in both research and commercial settings, he translates complex requirements into pragmatic, auditable solutions and keeps a hands-on polyglot engineering perspective. Based in Munich, he is as likely to produce a peer-reviewed paper as to ship a low-latency, customer-facing checkout flow.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc) Software Engineering and Management, Bachelor of Science (BSc) Software Engineering and Management at University of GothenburgLondon School of Economics and Political ScienceMaster of Science (MSc) Computer Science: Algorithms Languages and Logic, Master of Science (MSc) Computer Science: Algorithms Languages and Logic at Chalmers University of TechnologyVisiting Student, Visiting Student at King's College London
German, English, Swedish
Github Skills (24)
statistics9
data-analysis8
python8
machine-learning8
data-science8
arcade8
puzzle7
megadrive7
scikit-learn6
sega6
codeartifact5
stacker4
libretro4
haskell4
clustering3
Programming languages (5)
Github contributions (5)
gregorulm/fcc_raster
Jan 2020 - Jan 2026
Code artifacts related to the paper "Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass"
Contributions:1 push, 1 branch in 6 years 1 month
big-dataclusteringcodeartifactraster
gregorulm/mooc
Mar 2015 - Aug 2015
Contributions:5 commits, 13 pushes in 4 months
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