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About:
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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.
He has spoken at NVIDIA GTC, Devoxx, ODSC, DeveloperWeek, WeAreDevelopers, All Things Open AI, and SCaLE on topics including explainable AI, adaptive RAG, agentic systems, model quantization, multimodal ML, voice cloning, and small language model training. His mission is to help teams move beyond AI prototypes and build systems that are observable, reproducible, trustworthy, and ready for production.
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