Pavel Eis is a software engineer based in Brno with 8 years of experience building data-driven systems for cybersecurity, networking, and cloud infrastructure. He has moved between research-driven projects at CESNET and large-scale production roles at NetSuite and SentinelOne, focusing on network telemetry, DNS, container platforms and migrations from Docker to rootless Podman. Pavel combines hands-on Python and Java development with infrastructure-as-code (Terraform, Saltstack) and scalable Kubernetes platform work, while also teaching intermediate Python and design patterns to junior developers. His background in network entity reputation, STIX/MISP integration, and ML-based device classification gives him a strong edge in threat-aware data processing. He holds a master's in Information Technology and Artificial Intelligence and is curious about new tooling and workflow improvements that bridge research and production. Colleagues describe him as someone who delights in turning complex networking telemetry into reliable, automated systems.
7 years of coding experience
8 years of employment as a software developer
Master's degree, Information Technology and Artificial Intelligence, Master's degree, Information Technology and Artificial Intelligence at Vysoké učení technické v Brně
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