FastAPI + Streamlit
From initial Customer request through process mapping to a QUICK Proof of concept.
Incident management, service operations, and automation
I turn operational chaos into calmer, more usable systems.
I am Aleksander Klamski, an IT professional based in Poland. My work sits where incident coordination, infrastructure-facing problem solving, and pragmatic Python automation meet.
I care about reducing friction in real-world operations: clearer signals, better documentation, faster handoffs, and tools that help people make better decisions under pressure.
Open to roles and projects where operations, automation, and structured problem solving overlap.
Focus Areas
The work I want to be trusted with.
Python programming
I am especially interested in practical application of Python in AI solutions.
Automation That Helps People
My preferred automation work is practical: scripts, small tools, dashboards, and internal workflows that remove manual effort and improve visibility.
Incident Management
I am comfortable in fast-moving environments where multiple teams need a shared picture of what is happening, what matters now, and what has to happen next.
Selected Work
Proof of thinking, not just a list of technologies.
Case study
SmartMeal Planner
Rebuilt an academic Design Thinking project into an English, portfolio-ready case study covering research, synthesis, persona work, ideation, prototyping, and iteration.
This kind of work shows how I structure ambiguity and turn scattered input into something coherent and usable.
Automation experiment
Chaos Contained Dashboard
A lightweight Python concept for surfacing actionable tasks from a local knowledge base and turning them into a clearer operational view.
Small internal tools are often where I learn the most: they reveal what information people actually need and what work should stop being manual.
In progress
Public Portfolio Upgrade
I am steadily publishing cleaner project write-ups, technical notes, and artifacts that make my thinking easier to evaluate from the outside.
If you want the current snapshot before the archive is complete, GitHub and direct contact are the fastest paths.
Now
What I am actively sharpening.
- Clearer public documentation of projects and learning
- Operational knowledge that compounds over time
- Practical automation habits built around Python and real workflows
- A more disciplined, recruiter-friendly professional presence
How I Work
What people can expect from me.
- I prefer clarity over noise and documented decisions over assumptions.
- I care about service continuity, not just task completion.
- I learn best by building, testing, and writing things down properly.
- I value systems that remain understandable under stress.