Summary
Lulienne Schiefelbein is an AI Solution Architect and Tech Lead with eight years of experience designing and delivering AI-driven platforms, semantic search, RAG applications, and NLP solutions across public sector, mobility, healthcare, and enterprise domains. She combines a strong software architecture background with hands-on implementation—defining tech stacks, cloud infrastructure, and CI/CD while building and scaling engineering teams and introducing ADRs and DevSecOps practices. As a former startup co-founder, she turned LLM prototypes into an MVP for automated patent drafting and navigates the tradeoffs between research and production engineering. Known for structuring ambiguous problems and translating complex technical concepts for diverse stakeholders, she focuses on knowledge systems, language technologies, and human-centered AI. Based in Germany, she pairs consulting experience at IBM and Accenture with postgraduate studies in applied computer science and business informatics, bringing both technical depth and product-driven thinking.
8 years of coding experience
5 years of employment as a software developer
High School Diploma (Abitur) Advanced courses: Mathematics Physics Chemistry English History, High School Diploma (Abitur) Advanced courses: Mathematics Physics Chemistry English History at Niedersächsisches Internatsgymnasium Esens
Bachelor of Science (B.Sc.) International Management for Business and Information Technology, Bachelor of Science (B.Sc.) International Management for Business and Information Technology at DHBW Mannheim
Entrepreneurship/Entrepreneurial Studies, Entrepreneurship/Entrepreneurial Studies at Universidad de Almería
Bachelor of Business Administration (B.B.A.) Accounting and Finance, Bachelor of Business Administration (B.B.A.) Accounting and Finance at The Hong Kong Polytechnic University
Master of Science M.Sc. Applied Computer Science, Master of Science M.Sc. Applied Computer Science at FernUniversität in Hagen
German, English, Spanish, French, Polish, Chinese