Andrzej Bylicki is a seasoned Software and DevOps Engineer with roughly a decade of professional experience and a PhD in protein biochemistry, blending deep scientific training with pragmatic cloud and automation skills. He has driven cloud migrations, CI/CD design, Kubernetes microservices and data pipelines at companies from startups to Snap, and managed GCP and AWS infrastructure for ML and production workloads. Andrzej is a hands-on automation specialist—his open-source work includes streamlining qutebrowser's release process and meaningful backend contributions to several Python game projects—demonstrating care for reproducible builds and robust code. Comfortable across Python, shell, Ansible and modern observability stacks, he also builds data-processing and forecasting pipelines using PostgreSQL, BigQuery, numpy and pandas. Based in Austria, he pairs a scientist’s attention to experimental rigor with an engineer’s focus on reliable, automated delivery.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Molecular Biology Biochemistry and Molecular Biology, Doctor of Philosophy - PhD Molecular Biology Biochemistry and Molecular Biology at University of Vienna
International Baccalaureate Biochemistry and Molecular Biology, International Baccalaureate Biochemistry and Molecular Biology at International Baccalaureate
Master's degree Biochemistry and Molecular Biology, Master's degree Biochemistry and Molecular Biology at University of Chicago
Master's degree Biochemistry and Molecular Biology, Master's degree Biochemistry and Molecular Biology at University of Gdansk
Contributions:46 reviews, 41 commits, 20 PRs in 4 years
Contributions summary:Andrzej primarily focused on developing the core logic and data structures for the Tuxepedia module within the Tuxemon project. They initiated and structured the `tuxepedia` module, including resource path definitions and the initial database interface. The user then implemented a web extractor to retrieve data, downloading sprites and sound files from the Tuxepedia website. Further development included the creation of a data storage API, using JSON files, and the adaptation of existing code to the new system.
Contributions:438 commits, 33 PRs, 274 pushes in 1 year 2 months
Contributions summary:Andrzej primarily contributed to the game's Python code base, fixing bugs and improving the robustness of the code. Their work involved fixing Python version checks, removing excessive print statements, updating error messages, and correcting function definitions. A significant portion of the contributions focused on refactoring the FIFE module import logic and related functionalities, which included refactoring code that handles custom paths.
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