Mathias Panzenböck
Lead Software Developer at Crowdranking GmbH
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolMathias Panzenböck is a Lead Software Developer based in Vienna with 22 years of experience building practical full‑stack web applications and shipping reliable back-end systems. He pairs that product-focused craft with low‑level C skills and a hobbyist passion for reverse‑engineering game archive formats, evidenced by contributions to tools like u4pak for Unreal Engine .pak files. A long-time Linux user, he strengthens open-source projects by improving security and maintainability—removing unsafe eval usage in RAGFlow and adding format support and ABI‑friendly improvements to TagLib. At Crowdranking he leads engineering while continuing to contribute small, high‑quality plugins and parsers across diverse ecosystems. Colleagues know him for quickly mastering new technologies and translating that curiosity into robust, user‑facing software.
23 years of coding experience
Vienna University of TechnologyEDVO Kollege, EDVO Kollege at Higher Technical Institute Wiener Neustadt
German, English
Github Skills (38)
javascript10
c-language10
archiving10
python10
it-security10
metadata10
file-parsing10
archives10
plugin10
file-format10
security10
archiver10
parsing10
natural-language-processing10
file-parser10
Programming languages (20)
Github contributions (5)
panzi/u4pak
Jul 2014 - Sep 2021
unpack, pack, list, check and mount Unreal Engine 4 .pak archives
Role in this project:
Back-end Developer
Back-end DeveloperContributions:50 commits, 5 PRs, 36 pushes in 7 years 3 months
Contributions summary:Mathias contributed to the development and maintenance of the u4pak tool, focusing on improving its functionality and stability. They implemented Python 3 support, fixed exit codes, and added integrity checks to ensure the tool's reliability. Furthermore, the user added features such as support for creating Unreal Engine 4 archive files. The user also refactored code related to the list command.
unreal-engine-4
infiniflow/ragflow
Dec 2024 - Jan 2026
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 9 PRs, 49 comments in 1 year 1 month
Contributions summary:Mathias focused on improving code security and maintainability within the RAGFlow project. Their primary contribution involved removing instances of `eval()` from multiple Python files (`ocr.py`, `recognizer.py`, `postprocess.py`, `operators.py`, and `search.py`). These changes replaced `eval()` calls with safer alternatives like `getattr()` and `json.loads()`, mitigating potential code injection vulnerabilities. The user also replaced usage of eval to parse a float value with `np.float32()`. This indicates a strong understanding of best practices and a focus on code quality.
retrieval-augmented-generationaiai-agentscontext-enginellm-apps
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