Klaus Paul is a Berlin-based consultant, architect, and developer with a 25+ year engineering background and nine years focused on AI, analytics, IoT and big data solutions. He builds trustworthy data products by fusing rigorous data quality, safety-critical systems experience and modern ML techniques—recently concentrating on locally deployed GenAI LLMs combined with linked-data standards like RDFS/OWL. His career spans hands-on control-systems and aerospace engineering to leading Rolls-Royce innovation hubs, where he translated complex analytics into business value and operational tools. He helps charities and supply-chain initiatives turn messy datasets into actionable insights and data-driven stories. Comfortable across architectures, databases (including vector stores), model fine-tuning and RAG, he emphasizes auditable, high-reliability designs rather than opaque AI. A detail that sets him apart: he pairs decades of safety-critical systems thinking with practical experience deploying generative models for domain-specific engineering use cases.
10 years of coding experience
19 years of employment as a software developer
N/A, Analytical Instrumentation Facility, N/A, Analytical Instrumentation Facility at North Carolina State University
Dr.-Ing., Aerospace Engineering, Dr.-Ing., Aerospace Engineering at Technical University at Munich
This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of data scientists from IBM and Rolls-Royce for Emergent Alliance.
Contributions:59 commits, 7 PRs, 52 pushes in 1 year 9 months
scientistsmultithreadingpythongeoairbnb
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