Java backend developer with 7+ years of JVM experience — started at 13 writing Minecraft plugins, progressed to scalable game server networks, and now building production-grade backends with Spring Boot, Quarkus, and Kotlin.
Delivered backend and full-stack solutions across multiple industries. Java, Kotlin, Go, and Node.js on the backend — with Laravel, React, and TailwindCSS when full-stack was needed. Owned architecture, implementation, and deployment end-to-end for each client project.
Designed and implemented core parts of a modular cloud platform integrating multiple AI models — GPT-4, Claude, Gemini, Stability AI, and ElevenLabs — into a unified, intuitive UI. Covered full-stack architecture, performance optimization, security hardening, and GDPR compliance.
Built and maintained high-throughput backend systems — starting with scalable Minecraft game server networks (real-time duels, mini-game clusters handling hundreds of concurrent players) and evolving into a production player statistics platform on Spring Boot. Managed dedicated Linux infrastructure, owned the full backend lifecycle from architecture through deployment, and iterated on Kotlin as a preferred JVM alternative alongside Java.
Started writing Java at 13 years old — first Minecraft server plugins, then progressively more complex systems: scalable mini-game networks, duels matchmaking, player data pipelines, and real-time leaderboards. Built a hands-on understanding of JVM concurrency, event-driven architecture, and high-concurrency system design through production-grade game server development long before formal employment.
I wrote my first Java program at 13 years old. What started as Minecraft plugin development quickly turned into engineering scalable multiplayer game networks — real-time duels systems, mini-game clusters, and player statistics platforms. That obsession with making things fast and reliable never left.
Over 7+ years I've built that foundation into production-grade backend engineering. My longest collaboration — 3+ years with Tim Kratochvíl — was centered on Java and Kotlin backend systems: Spring Boot APIs, Quarkus microservice experiments, real-time data pipelines, and managing dedicated Linux infrastructure end-to-end.
More recently I've worked across stacks (Go, TypeScript, Node.js, Laravel) and spent a year at Coudy AI architecting a multi-model AI platform. But the JVM is home — and Java/Kotlin backend is where I want to go deeper.