Fiodar Sazanavets

Fiodar Sazanavets is an experienced senior software developer, whose expertise is in the Microsoft stack, including ASP.NET SQL Server, Azure, and various front-end technologies. Fiodar has worked in water engineering, financial and defense industries. He regularly writes about software on his personal website, Scientific Programmer.

books by Fiodar Sazanavets

.NET Aspire Made Easy

  • MEAP began March 2025
  • Publication in Early 2026 (estimated)
  • ISBN 9781633435124
  • 275 pages (estimated)
  • printed in black & white

In .NET Aspire Made Easy you’ll discover the fundamentals of Aspire: how Aspire code is structured, how its components all work together, and how to integrate Aspire apps with databases, message brokers, and other infrastructure. The book is packed with solutions to common and not-so-common problems—from making service discovery work with SignalR clients, to deploying Aspire applications in cloud environments. Throughout, you’ll get your hands dirty with real-world examples of large-scale applications, including an e-commerce app and a social media platform.

Machine Learning for C# Developers

  • MEAP began November 2024
  • Publication in August 2025 (estimated)
  • ISBN 9781633435681
  • 325 pages (estimated)
  • printed in black & white

Machine Learning for C# Developers opens up the world of machine learning to C# and .NET developers. In it, you’ll find full coverage of the new ML.NET framework that’s at the forefront of Microsoft’s AI developments. Through careful, step-by-step guidance you’ll learn how to deliver everything from simple machine learning tools to complex deep learning models—no Python required.

This engaging book is a practical guide to building ML models using C#, ML.NET, and AutoML tools. You’ll begin with the basics of machine learning, explained through engaging real-world examples. Next, you’ll discover how ML.NET can streamline common ML tasks, and explore models that grow in complexity from a simple classification algorithm to advanced object detection in images. Throughout the book, you’ll develop an intelligent tool that can give feedback and suggestions on writing clean and well-structured code. Soon, you’ll have mastered universal ML concepts that you can turn to building almost any kind of model.