Georg Jung is a software architect based in Frankfurt with over 15 years in .NET engineering and 11 years of hands-on professional experience modernizing mission-critical systems. He leads cloud migrations and DevOps automation for high-availability public infrastructure, shaping Azure strategy and building CI/CD pipelines that span web, mobile, and desktop. Security-first by practice, he has overseen regular penetration testing, found CVE-2023-21893, and earned two bug bounties while producing auditable, secure software. An active open-source contributor, he has improved the popular win-acme Windows ACME client by refining certificate management and simplifying IIS integration, demonstrating attention to maintainability and UX in backend systems. Georg also explores VR solutions as an independent practitioner and holds an MS in Computer Science from TU Darmstadt, blending academic rigor with practical system design.
11 years of coding experience
13 years of employment as a software developer
Computer Science, Computer Science at Technion - Israel Institute of Technology
A simple ACME client for Windows (for use with Let's Encrypt et al.)
Role in this project:
Back-end Developer & System Architect
Contributions:38 commits, 10 PRs, 32 comments in 2 years
Contributions summary:Georg contributed significantly to the win-acme project by implementing and refining features related to certificate management and IIS integration. They added options for setting the certificate's common name, improved the user experience by simplifying CN selection, and added a command-line parameter for CN configuration. Furthermore, the user made changes to the internal structure, using object initializers, expression bodies, and removing auto-property setters, as well as code deduplication, showing experience in code maintainability and potentially system design choices.
Fast and memory-efficient library for WordPiece tokenization as it is used by BERT.
Contributions:5 releases, 3 PRs, 171 pushes in 1 year 6 months
aibertbert-embeddingsllmmachine-learning
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