Mohammed Hassan is a Senior DevOps Data Engineer in Bonn with nearly two decades of hands-on experience turning industrial-scale infrastructure into production-ready AI. He combines deep foundations—from fiber-optic campus networks and enterprise BI for 43+ subsidiaries to hybrid-cloud SRE at BASF—with modern Generative AI and Computer Vision delivery that prioritizes GDPR and PII-safe processing. At DB Systel he leads end-to-end AI lifecycles on Azure, marrying Spark-scale data engineering with FastAPI/YOLO and LLM pipelines for regulated environments. His R&D pedigree includes contributions to the Fraunhofer HOBBIT benchmarking project for Big Linked Data, and he’s a 15-year mentor who has helped hundreds of international students transition into engineering careers. Uncommonly, he pairs corporate strategy design experience (co-authoring a 5-year group strategy and Balanced Scorecard integration) with low-level infrastructure craftsmanship, enabling AI solutions that are both auditable and operationally resilient.
9 years of coding experience
1 year of employment as a software developer
Engineer's degree, Geology/Earth Science, Engineer's degree, Geology/Earth Science at Red See University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Open University of Sudan
Master’s Degree, Life Science Informatics, Master’s Degree, Life Science Informatics at The University of Bonn
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