Cedric Clyburn
Senior Developer Advocate, Red Hat
New York City, New York, United States
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Cedric Clyburn (@cedricclyburn), Senior Developer Advocate at Red Hat, is an enthusiastic software technologist with a background in Kubernetes, DevOps, and container tools. He has experience speaking and organizing conferences including Devoxx, WeAreDevelopers, The Linux Foundation, KCD NYC, and more. Cedric loves all things open-source, and works to make developer's lives easier! Based out of New York.
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Structuring the Unstructured: Advanced Document Parsing for AI Workflows
Modern organizations generate vast amounts of data stored in diverse and often unstructured formats, such as PDFs, scanned documents, and proprietary file types. For engineers working with AI, the challenge isn’t simply extracting text—it’s preserving the structure, context, and relationships within the data. Whether fine-tuning models or building retrieval-augmented generation (RAG) pipelines, effective document processing is essential to powering actionable insights.
This session dives into the techniques and open source tools needed to transform unstructured documents into structured formats like JSON or Markdown, ready for AI workflows. You’ll learn how to handle challenges like multi-page tables, image-heavy layouts, and scanned documents using context-aware methods. Join this session as we explore how to efficiently bridge the gap between unstructured data and AI-powered applications, and help you achieve better results in your AI projects.
Building with Open Source AI: A Crash Course
Thanks to open source, in the past year, we’ve seen a fundamental change: developers and enterprises are moving away from proprietary, closed-source models. To save costs, prioritize privacy, and allow for customization, they are building, testing, and deploying their own open models. However, this journey can feel overwhelming. Which foundation model should I use? How do I connect my model to existing data sources or build agentic capabilities to start seeing real value with AI? Oh, and don’t forget measuring performance and observability!
The key to navigating this emerging path is adopting the flexibility, transparency, and collaboration of open source that many of us are familiar with. Join us for this workshop as you get hands-on experience through the entire lifecycle of enterprise AI deployment and app development. You’ll use the leading tools for use cases such as model serving and scaling, connecting with your unique data, agentic workflows, evaluation/optimization, and more- built on Linux and Kubernetes! We’ll share best practices and knowledge around how building with open models and technology lets you control your own AI journey!
Everything You Need to Know About Running LLMs Locally
As large language models (LLMs) become more accessible, running them locally unlocks exciting opportunities for developers, engineers, and privacy-focused users. Why rely on costly cloud AI services that share your data when you could deploy your own models tailored to your needs? In this session, we’ll dive into the advantages of local LLM deployment, from selecting the right open source model to optimizing performance on consumer hardware and integrating with your unique data.
Let’s explore the journey to your own local stack for AI, and cover the important technical details such as model quantization, API integrations with IDE code assistants, and advanced methods like Retrieval-Augmented Generation (RAG) to connect your LLM to private data sources. Don’t miss out on the fun live demos that prove the bright future of open source AI is already here!
Going from containers, to pods, to Kubernetes – help for your developer environments!
Today, Kubernetes is the undisputed go-to platform for scaling containers. But for developers, Kubernetes can be daunting, particularly when working with the discrepancies between local and production environments. Podman and Podman Desktop bridges this gap. In this talk, you’ll be introduced to Podman and witness the unveiling of Podman Desktop, an open-source GUI tool that streamlines container workflows and is compatible with Podman, Lima, Docker, and more. Podman Desktop serves as a beginner-friendly launch pad to Kubernetes, enabling developers to spin up local clusters (with Kind and Minikube) or work with remote environments. A demo will be given that helps you navigate the paths necessary to transition from app to containers, to pods, and ultimately to Kubernetes, highlighting how it reduces discrepancies and enables predictability in your deployments by leveraging Podman and Podman Desktop's perks and security advantages. You'll also learn how you can benefit from Podman Desktop to streamline your container development processes!
KubeCon + CloudNativeCon Europe 2026 Sessionize Event Upcoming
DataTune 2026 Sessionize Event Upcoming
Devnexus 2026 Sessionize Event Upcoming
Jfokus 2026 Sessionize Event Upcoming
TechBash 2025 Sessionize Event
The Commit Your Code Conference 2025! Sessionize Event
Beer City Code 2025 Sessionize Event
WeAreDevelopers World Congress 2025 Sessionize Event
DevBcn 2025 Sessionize Event
AI fokus Sessionize Event
AI DevSummit 2024 Sessionize Event
KCD New York 2024 Sessionize Event
Devnexus 2024 Sessionize Event
Cedric Clyburn
Senior Developer Advocate, Red Hat
New York City, New York, United States
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