Samuel Zislis-gaus is a Technical Lead based in Edinburgh with 15 years of experience building and scaling full-stack web products and engineering teams. He blends hands-on expertise in Node.js, TypeScript/React frontends and Python backends with a strong emphasis on security, having fixed critical JWT parsing vulnerabilities in the widely used Rasa open-source conversational AI project. At Rasa he grew a solo frontend capability into a dozen-strong team, created design systems and led cross-squad engineering, hire/onboarding and interview processes. He has led architecture and delivery for ML-driven microservices and SPAs, and brings practical DevOps and deployment overhauls to bear on performance and testing challenges. Samuel pairs technical leadership with frequent pair-programming and mentorship, preferring to solve the hardest engineering problems alongside his teams. Outside standard career arcs he once briefly swapped code delivery for delivering takeaway food — a small reminder he values exercise and pragmatic life balance.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Back-end Developer & Security Engineer
Contributions:5 reviews, 25 commits, 6 PRs in 2 years 10 months
Contributions summary:Samuel focused on resolving security vulnerabilities related to JWT parsing within the Rasa Core server. They corrected the JWT parsing logic and updated the changelog to reflect the fix. Additionally, the user updated test cases to accurately reflect the corrected JWT authentication process. Their contributions involved modifying backend server code and test infrastructure, directly impacting the security and reliability of the system.
Contributions:1 push, 2 branches in 5 years 3 months
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