Summary
Kashif Rabbani is a Data and AI Engineer with a PhD in Computer Science and eight years of experience building semantic, graph, and AI-driven data platforms. Currently at Novo Nordisk he architects Graph-ELT and RAG pipelines, combining Neo4j, vector search, Databricks, and OpenAI integrations to serve 600+ scientists while improving query performance and reducing hallucinations. His research background in knowledge-graph shapes and SHACL-informed validation informs production-ready CI/CD schema governance that enforces GDPR/GxP compliance and cut pipeline failures by nearly half. Comfortable bridging research and delivery, he has led cross-team FAIR data standardization efforts and workshops to operationalize metadata and data contracts. Based in Aalborg, he blends academic rigor with pragmatic engineering—often surfacing research ideas into scalable tooling for real-world AI applications.
7 years of coding experience
6 years of employment as a software developer
Master's degree, Erasmus Mundus Master Programme in “Big Data Management and Analytics” (BDMA), Master's degree, Erasmus Mundus Master Programme in “Big Data Management and Analytics” (BDMA) at Université libre de Bruxelles
Master's degree, Computer Science, Master's degree, Computer Science at Technische Universität Berlin
UPC Universitat Politècnica de Catalunya
Higher Secondary School Certificate, Pre-Engineering, A1, Higher Secondary School Certificate, Pre-Engineering, A1 at Punjab College of Science F-8/4 Islamabad
Bachelor's degree, Computer Science, CGPA 3.84/4, Bachelor's degree, Computer Science, CGPA 3.84/4 at COMSATS Institute of Information and Technology
Secondary School Certificate, Science, A, Secondary School Certificate, Science, A at Islamabad Model College for Boys Chak Shahzad Islamabad
English, Danish