Codrina Merigo
Digital Product Manager @ Fresenius Medical Care
Milan, Italy
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Microsoft MVP Alumni, SAFe PO/PM certified, passionate about mobile apps and AI, joined the 'Xamarin' dev world more than sevenyears ago, now onboarding into MAUI.
Passionate about UX and UI, with an eye on cross-platform solutions, mostly for Xamarin.Forms. In the last years, has focused on UI testing, best practices, continuous integration, and optimization for Xamarin apps. Also curious about AI and ML.
Recently more interested in product management and its capabilities.
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Crea la tua AI
Da Power APP o PowerAutomate, usando i cognitive services o I tuoi database, crea oggi la tua AI con AI builder e sei pronto per automatizzare il tuo business in pochissimi click e anche senza scrivere codice Non è un sogno, è solo AI.
Discover .NET MAUI
Aimed to be the next level of cross-platform development, .NET MAUI is intended for devs who want to know more about mobile development.
Before .NET Core, the term 'cross-platform' was used by Xamarin.Forms to support building Android, iOS and Windows phone apps. Started with Xamarin. Forms, you wrote code once, and that code is deployed on three platforms at the same time. You can also build desktop applications using a single code base, targeting mac OS, Windows and even Linux.
Use AI In your .NET MAUI app to create a chatbot
How to integrate a ChatBot in your .NET MAUI cross-platform application using Luis.AI and let your users communicate with your ChatBot using natural language.
How to 'hook' with your product?
You created a great product and now you want more users? Apply the hooked model and increase your user base with simple ideas.
Learn how you can use Behavioral Science to create digital habit-forming products that your users would love to return to.
Apply the hooked model and increase your user base with simple ideas.
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.
Codrina Merigo
Digital Product Manager @ Fresenius Medical Care
Milan, Italy
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