Hi, I'm Ivan - a backend-focused software engineer who enjoys dabbling in front-end work from time to time. I'm currently based in the Rhein-Main region in Germany, where I also studied computer science.
By day, I work on scalable, maintainable systems using modern back-end stacks and cloud infrastructure. By night (and sometimes lunch breaks), I'm either playing guitar, making music, or doing some fitness because, well, balance is important — especially in IT.
- Experienced full-stack engineer with a strong focus on backend development, microservices, and cloud-native architecture.
- I’ve built and optimized payment systems, CMS systems, designed resilient data pipelines, and delivered scalable features across various tech stacks.
- I bring end-to-end expertise: from ideation and architecture to development, deployment, and long-term maintenance.
- I'm a big fan of clean code, pragmatic solutions, and strong team communication.
- I take an AI-first approach to development — using LLMs and automation wherever they make things faster without sacrifising quality.
- I enjoy helping teams and colleagues navigate the fast changing AI tooling landscape - whether that's running workshops, consulting on LLM integration strategies, or showing how context engineering and spec-driven TDD patterns can make AI-assisted development actually reliable and production-grade, not just a cool demo for the stakeholders.
Professionally (or significantly):
React, TypeScript, PHP 8 (typed + linted), Symfony, Laravel (not a fan), Chakra UI, Ubuntu, Java, GitLab CI/CD, PostgreSQL, MariaDB, ElasticSearch, Python, Pimcore, Kubernetes, MongoDB, Golang, IBM MQ, HP NonStop, Kafka, Jenkins, Clickhouse, Nginx, Terraform, AWS, C++ (regretfully), ARM Assembly, Angular, Claude Code, OpenCode
- Golang, NestJS, Kotlin, C#, Java(hm)
- AI Tooling & Systems:
- Designing and implementing task-specific autonomous agents for optimizing business workflows.
- Leveraging Claude Code and OpenCode using spec-driven development patterns for safe and predictable code generation and context-aware assistance.
- Fine-tuning LLMs and aligning them for domain-specific tasks.
- Observability: metrics, tracing (OpenTelemetry)
- DevOps: Infrastructure as Code, advanced Kubernetes usage, progressive delivery strategies
- Frontend: modern React and design systems like Chakra UI
- Cloud system design: multi-cloud strategies, service meshes, distributed architecture patterns
- Management and leadership: technical decision-making, scaling dev teams, improving collaboration and delivery pipelines
- Laravel projects with magic, no types, or legacy PHP (< v8)
- Random, hype-based JavaScript frameworks
- Unstructured Teams/Project/Workflows
- C (unless someone convinces me it’s actually not that bad)
- Super advanced network configuration (I just never got good at it)