Meinrad Recheis
CEO at SciSharp STACK
Austria
Summary
🤩
Rockstar🎓
Top SchoolMeinrad Recheis is a seasoned software entrepreneur and engineer with 17 years of experience, currently leading eqqon as CEO while shaping technical strategy as Senior Software Architect at SciSharp STACK. He co-founded the popular Blazor UI project MudBlazor and has deep front-end expertise in material-design component libraries, complemented by strong back-end work on .NET bindings for TensorFlow and high-performance NumSharp tensors. Meinrad bridges product and platform: shipping user-facing UI components and contributing low-level runtime and API improvements that enable machine learning in .NET. His open-source creations include Numpy.NET and Python.Included, reflecting a rare blend of developer tooling, numerical computing and cross-language integration. Trained as a Diplom‑Ingenieur from TU Wien, he is comfortable moving between prototype UX work and rigorous refactors, often adding thorough tests and documentation as part of his contributions. Colleagues know him for improving both developer ergonomics and core functionality across widely used .NET scientific and UI ecosystems.
16 years of coding experience
Vienna University of Technology
German, English, Chinese, spansich
Stackoverflow
2,252reputation
369kreached
67answers
3questions
blazor
top-5%
Github Skills (32)
unit-testing10
testing10
component-development10
css10
machine-learning10
ndarray10
numpy10
blazor10
material-design10
front-end-development10
dotnet-core10
slicing10
netcore10
csharp10
blazor-server10
Programming languages (9)
Github contributions (5)
MudBlazor/MudBlazor
Sep 2020 - Jan 2023
Blazor Component Library based on Material Design principles with an emphasis on ease of use and extensibility
Role in this project:
Front-end Developer
Front-end DeveloperContributions:35 releases, 1113 reviews, 963 commits in 2 years 4 months
Contributions summary:Meinrad primarily contributed to the development and refinement of the MudBlazor component library's user interface elements. The commits focused on implementing features for the Chip and DatePicker components and on improving the user interface for the Autocomplete, Menu and other components. They added new features and code examples to the project, along with tests to cover them.
blazor-serverblazor-componentblazor-clientbareease-of-use
SciSharp/NumSharp
Apr 2019 - Oct 2019
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:143 commits, 15 PRs, 65 pushes in 6 months
Contributions summary:Meinrad primarily focused on implementing and testing new functionality within the NumPySharp library. They added element-wise AND and OR operators to the NDArray class, along with the np.isnan and np.isfinite methods. Furthermore, they contributed by adding support for slicing and a constructor overload for generic types, including writing multiple unit tests to ensure the correct functionality of the implemented features. The user also refactored and created unit tests for existing functionality, specifically the np.zeros_like, np.allclose and np.all methods.
pythonndarraynumbatensortensorflow
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