Panos Vagenas

Technical Steering Committee Member @ Docling (Linux Foundation)

Pano’s bio

Panos Vagenas is an Advisory Research Engineer at IBM, leading development efforts at the intersection of Artificial Intelligence, Information Retrieval, and Data Management. At IBM since 2020, Panos has helped build various innovative AI technologies, including co-driving the Docling open-source project from its inception as a core developer, maintainer, and Technical Steering Committee member within the LF AI & Data Foundation. With an engineering career spanning over a decade and impact on major projects for organizations like UBS and SAP, he has significant experience in designing and developing industry-leading software solutions. Panos holds an MSc in Computer Science from ETH Zurich and has received multiple awards including the IBM Outstanding Technical Achievement Award, the IBM Technical Collaboration Achievement Program Leadership Award, the ACM SIGMOD Best Demonstration Award, and the ETH Zurich Excellence Scholarship.

Pano’s presentation at GenAI Summit 4

"Own Your Data, Own Your AI:

Unlocking Documents with Docling" Docling is rapidly becoming the de-facto standard in open-source document AI. The project has achieved remarkable adoption with over 40K GitHub stars, more than 1.5 million monthly downloads, and multiple #1 ranks on global GitHub and HuggingFace trending leaderboards. Incubated as a Linux Foundation AI & Data project, Docling provides local-first, enterprise-grade capabilities, excelling at parsing complex layouts, extracting tables, and converting unstructured documents into AI-ready structured formats.