Viktor Vereckei developed GPU-accelerated continuous integration capabilities for the mostlyai-engine and mostlyai repositories, focusing on enabling reliable and scalable GPU-enabled testing. He implemented CI/CD pipelines using Docker, GitHub Actions, and YAML, leveraging NVIDIA CUDA containers to execute GPU-specific tests in isolated environments. His work included optimizing environment setup and test runner configurations to reduce turnaround time and improve reproducibility for GPU workflows. By integrating GPU detection and ensuring proper dependency management, Viktor established a foundation for faster feedback on GPU features. The depth of his contributions provided robust, repeatable CI environments tailored for GPU computing within both repositories.