Widening of GPGPU applicability increases the interest to high-level languages for GPGPU programming development. One of the challenges is to create a portable solution which provides static checks and being integrated with application platforms. We propose a tool—Brahma.FSharp—that allows one to utilize OpenCL-compatible devices in .NET applications, and to develop homogeneous code using familiar .NET tools. Brahma.FSharp facilitates GPU kernel development using F# programming language that is functional-first statically typed .NET language. Compile-time metaprogramming techniques, provided by F#, allows one to develop generic type-safe kernels. We show portability of the proposed solution by running several algorithms developed with it across different platforms and devices.