Marek Linka
Principal Software Engineer at ERNI
Slovakia
Summary
👤
Senior🎓
Top SchoolMarek Linka is a Principal Software Engineer based in Slovakia with nine years of experience designing and delivering full-stack applications primarily on the Microsoft stack, including C#, .NET Core, ASP.NET Core, WPF, and REST APIs. He blends hands-on backend architecture with front-end work in TypeScript and Angular, and has a particular interest in machine learning and data—evidenced by substantive contributions to the ML.NET project where he improved core functionality, logging, and test robustness. A Charles University graduate in Software Engineering, Marek has progressed through multiple senior roles at ERNI and earlier built complex government and private-sector solutions at Elitecode. He is an active .NET Foundation contributor and maintainer on projects like Agent Mulder, showing commitment to the ecosystem beyond day-to-day delivery. Known for refactoring legacy code and hardening frameworks, he combines pragmatic engineering with a continual appetite for new skills.
10 years of coding experience
8 years of employment as a software developer
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at Charles University
English
Github Skills (13)
net10
asp-net10
machine-learning10
dotnet-new10
dotnet10
mlnet10
csharp10
mldotnet10
dotnet-core10
testing9
algorithms9
data-structures8
data-structure8
Programming languages (9)
Github contributions (5)
dotnet/machinelearning
Jan 2019 - Feb 2019
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
Back-end Developer / ML Engineer
Back-end Developer / ML EngineerContributions:8 commits, 6 PRs, 48 comments in 27 days
Contributions summary:Marek primarily focused on modifying and enhancing the core functionality of the ML.NET framework. They refactored logging mechanisms, introduced new features like resizing mode, and improved internal code structure related to data loading and command-line parsing. Additionally, the user contributed to test suites and addressed locale sensitivity issues within the unit tests. Their work indicates a focus on improving the framework's robustness and usability.
dotnetmachine-learningml
mareklinka/holoyolo
Jun 2018 - Jul 2018
Object detection with YOLOv3 with a Microsoft HoloLens front-end.
Contributions:11 commits, 2 PRs, 8 pushes in 13 days
frontendhololensobject-detection
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