Connecting infrastructure with practical automation.
I maintain and develop Linux environments professionally. Outside work, I build my own services and explore how AI can support everyday tasks. I care about the whole system: networks, data, integrations and a result I can verify.
Synology NASServices · data · monitoring · hosting
PC + GPUOpen WebUI · PC Operator · ComfyUI
Access / persistent services / compute↳
Separate roles: the network provides access, the NAS keeps services and data, and the PC supplies AI compute. Logical diagram.
10+ years
working with infrastructure
400–600 VM
virtual machines in the professional environment I maintain
−60% log volume
after optimising configuration and retention over three years
01 / Personal projects
Systems I use every day.
My home lab is a place to take an idea from the first configuration to a working service. Each project starts with a practical need.
Home AI · In active use and development
An agent with knowledge and tools.
I connected Open WebUI and language models to knowledge about my environment and tools for Windows. The agent can read documentation, retrieve relevant context and carry out a task through PC Operator.
My integration layer also handles service startup, tool access and results. It lets me trace a request through to its actual outcome.
The agent retrieves documentation or relevant knowledge.
Action
A tool reads data or performs an operation.
Verification
I check the result against the original task.
02 / Infrastructure
Personal services on a solid foundation.
MikroTik, Synology and Docker form the foundation of my home lab. I separate network access, persistent data and compute. The NAS runs everyday services; the GPU-equipped PC runs models and image generation.
Uptime Kuma tracks service availability, MySpeed records connection measurements, and Grafana and Loki help me explore logs. Together, they help identify recurring issues and check the impact of changes.
I am most interested in the point where configuration meets everyday use. I check where a service stores its data, what it needs to start and how to tell that it actually works.
I bring this approach from professional work into my own projects. I combine existing components with the integrations I need, document decisions and revisit them as the environment changes.
A working system is one I can run, understand and verify.
03 / Experience
Linux, automation and responsibility for operations.
Kyndryl09.2022 — present
Lead Infrastructure Specialist
Maintaining a Linux environment of 400–600 virtual machines. Working with Azure Repos, Jenkins, Puppet, ELK, Hitachi HNAS and Qualys, and preparing Kubernetes clusters with ArgoCD. Optimising log configuration and retention reduced volume by 60% over three years despite infrastructure growth.
ING Business Shared Services05.2019 — 09.2022
DevOps Engineer
Maintaining Oracle directory services infrastructure and Linux authentication systems. Working with Active Directory and automating selected tasks with Ansible.
IBM GDSC Katowice12.2016 — 04.2019
IT Specialist · 3rd Line Support
Providing third-line support for BigFix infrastructure and Windows and Linux systems. Developing service health checks and diagnosing operational issues.