Anahita Pakiman is a data scientist-engineer with a strong background in knowledge graphs, the semantic web, digitalization, and mechanical engineering. She currently works as a Senior Knowledge Graph and Data Science Consultant at brox IT-Solutions, where she helps organizations design and build knowledge-driven systems that connect structured data, domain knowledge, and machine learning.

Her work sits at a practical intersection of semantic technologies and modern AI: combining knowledge graphs with large language models, retrieval augmented generation, and graph machine learning to solve concrete engineering problems. On the DataTalks.Club podcast, she has discussed how knowledge graphs and LLMs are applied in automotive R&D, including use cases around crash simulation, drawing on experience that spans both academia and industry.

With roots in mechanical engineering and a career built around digitalization, Anahita brings an unusually well-rounded perspective to knowledge graph projects, from ontologies and data modeling all the way to production systems.