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Champion

David vonThenen

NetApp

David vonThenen is an AI/ML Engineer where he focuses on production AI systems, enterprise AI strategy, and architectures for explainable, governable, and reliable generative AI. His work spans Agentic AI, Graph RAG, Document RAG, AI memory systems, multi-agent architectures, OpenSearch, Neo4j, data lineage, provenance, and AI governance.

David has more than 20 years of experience building production software across AI/ML, speech and NLP, Kubernetes, cloud-native platforms, storage, virtualization, and backup/recovery. He combines hands-on engineering with technical strategy, open-source leadership, developer advocacy, and customer-facing architecture work.

Badges 6

Talks 8

  1. Devoxx Belgium 2026

    Underneath the Black Marker: AI Techniques for Detecting and Reversing Redactions

    October 2026Security, Trust & Compliance

  2. Devoxx Poland 2026

    A Practical Guide to Training a Small Language Model: Tokenizers, Training, and Real-World Pitfalls

    June 2026Data & AI

  3. Devoxx Greece 2026

    The Sound of Your Secrets: Teaching A Model to Spy, So You Can Learn to Defend

    April 2026Security

  4. Devoxx Greece 2026

    Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI

    April 2026Data & AI

  5. Devoxx France 2026

    The Sound of Your Secrets: Teaching Your Model to Spy So You Can Learn to Defend

    April 2026Security & Privacy

  6. Devoxx Morocco 2025

    Rethinking RAG: How MCP and Multi-Agents Will Transform the Future of Intelligent Search

    November 2025Data & AI

  7. Devoxx UK 2025

    The Rise of Agentic AI: Harnessing Open Source for Dynamic Decision-Making

    May 2025Data & AI▶ Watch

  8. Devoxx France 2025

    Explaining the Unexplainable: Python Tools for AI Transparency using Captum

    April 2025Data & AI