In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
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In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
104. Decoding Software: Learning Through Experience - with Shawn Wildermuth
Betatalks the podcast
48 minutes
10 months ago
104. Decoding Software: Learning Through Experience - with Shawn Wildermuth
In this episode, we talk with Shawn, a consultant, architect, and Microsoft MVP, who thrives on learning and sharing knowledge about .NET, JavaScript, and more. His early experiences with computers fostered a mindset of curiosity, helping him navigate tech trends with a pragmatic approach. As an instructor, he prioritizes storytelling, hands-on examples, and learning from mistakes. In this episode, he shares insights on software evolution, abstractions, and the value of diverse perspectives. ...
Betatalks the podcast
In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI developer at 4Dotnet and Microsoft MVP who is building a startup app for people with food intolerances. She reflects on her move from Xamarin.Forms to .NET MAUI, noting how .NET 8 made the framework stable enough for production use. She explains how her app uses ML.NET to learn from user feedback and generate personalized dietary recommendations. They also highlight her rapid growth as a conference s...
