Anton Dubovik stabilized macOS development environments for the epam/ai-dial-analytics-realtime repository by addressing a persistent PyTorch dependency issue. He resolved install-time failures on darwin platforms by explicitly configuring the PyPI source and updating the poetry.lock file, ensuring the correct PyTorch package was installed consistently. Using skills in dependency management, Python packaging, and TOML, Anton’s work improved reliability for both local development and CI pipelines. This targeted fix reduced onboarding friction and support overhead, resulting in more reproducible installations and dependable analytics workflows. The depth of the solution demonstrated careful attention to cross-platform compatibility and sustainable environment management practices.