Szilárd Parrag
Software Developer at Axoflow
Budapest, Hungary
Summary
🤩
Rockstar🎓
Top SchoolSzilárd Parrag is a Senior Software Developer based in Budapest with nine years of experience building robust back-end systems and modernizing legacy code. He has deep C and Rust experience across security-focused and infrastructure projects, currently advancing product development at Axoflow after contributing as a Rust developer at Integritee and as an embedded C engineer at One Identity. An active open-source contributor (@axoflow), he improved Redis integration and pipeline batch performance in the widely used syslog-ng logging daemon, demonstrating both performance-tuning and reliability fixes under real-world load. Comfortable bridging low-level systems work and higher-level product needs, he brings a pragmatic focus on stability, efficiency, and maintainability to production services.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Eötvös Loránd University
Github Skills (5)
c1710
logging10
c-programming10
c1110
redis10
Programming languages (13)
Github contributions (5)
syslog-ng/syslog-ng
Jul 2021 - Dec 2022
syslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, queueing, SQL & NoSQL.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:146 reviews, 87 commits, 67 PRs in 1 year 5 months
Contributions summary:Szilárd focused on enhancing the Redis module within the syslog-ng project. They replaced compatibility APIs with the new worker API in the Redis module, indicating an effort to modernize the codebase. Furthermore, the user added a batch mode using pipelines for the Redis destination, significantly improving performance by sending multiple commands at once. They also fixed reconnection issues in the Redis pipeline mode, ensuring stability and data integrity.
syslog-ngpythonnosqlelasticdaemon
kube-logging/telemetry-controller
Feb 2024 - Mar 2025
A multi-tenancy focused solution, that facilitates collection of telemetry data from Kubernetes workloads transparently.
Contributions:74 reviews, 34 PRs, 70 pushes in 1 year 1 month
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