AI Without the Cloud: Building Offline AI Experiences in .NET MAUI Apps
AI doesn’t always need the cloud. With today’s powerful on-device models, you can build smart applications that run offline, ensuring speed, privacy, and reliability even without an internet connection. In this session, we’ll explore how to integrate offline AI capabilities into your .NET MAUI apps. You’ll learn how to embed lightweight machine learning models, process text, vision, or speech locally, and optimize them for mobile and desktop platforms. We’ll walk through practical demos showing scenarios like offline text summarization, image recognition, and personal assistants—all running directly on the device. By the end, you’ll understand the tools, techniques, and trade-offs of running AI offline, and you’ll leave with the skills to design apps that are both intelligent and resilient, even when connectivity isn’t guaranteed.
About the speaker
Codrina Merigo
Microsoft MVP Alumni and SAFe PO/PM certified professional with a strong passion for building impactful mobile applications and exploring the evolving landscape of AI. With over seven years of experience in the Xamarin ecosystem and now deeply engaged in .NET MAUI, has consistently focused on delivering high-quality, cross-platform solutions that balance performance, usability, and scalability.
Author of AI-Enabled Apps with .NET MAUI: How to Build Cross-Platform .NET MAUI Apps with the Latest AI Capabilities, bringing together hands-on development experience and a forward-looking perspective on integrating AI into modern applications.
Particularly passionate about UX and UI design, with a keen eye for creating intuitive, user-centered experiences across platforms. In recent years, has specialized in UI testing, best practices, continuous integration, and performance optimization within .NET MAUI projects, helping teams build more robust and maintainable applications.
Naturally curious and continuously learning, with a growing interest in AI and machine learning, especially in how these technologies can enhance real-world products. More recently, has expanded focus into product management and digital product strategy, combining technical expertise with a user- and business-oriented mindset to drive meaningful product outcomes.