Python / Automation
Technical workflow applications
Desktop applications that turn calculations, measured data and repetitive reporting into reliable daily tools.
Days of manual work reduced to minutesPython / GUI / Data processing / PDF reportsTools, ideas and data in one place
Practical software for
technical work.
I build Python applications, data pipelines and AI-assisted workflows that make complex technical processes faster, clearer and easier to operate.
End-to-endFrom requirement to working application
Hands-onTechnical field and laboratory experience
AI-enabledDaily agentic development workflow
Outcome-ledAutomation that removes repetitive work
How I structure AI work
Example of a small,
controlled workflow.
This staged example shows the pattern: define, build, challenge, correct and verify. It supports the portfolio; it is not the portfolio itself.
Selected work
Useful systems,
not isolated demos.
Representative work without exposing client names, internal details or employment history.
Data / Machine Learning
Business data analysis system
A complete analytical pipeline covering data collection, preparation, custom model training and validation.
One system from raw input to evaluated outputPython / ML / Feature pipelines / ValidationAgentic AI
AI-assisted code review
A structured review workflow for finding defects, proposing improvements and combining leading AI provider APIs.
Repeatable implementation and verification loopLLM APIs / Agent workflows / PythonCapabilities
One profile across
software and reality.
I build software around real technical processes — from measurement and diagnostics to data analysis and automation.
Python applications
Desktop tools, calculation workflows, automation and report generation.
Data and machine learning
Data preparation, analytical pipelines, model training and practical validation.
AI development workflows
Daily work with Codex and Claude Code, multi-agent review and leading model APIs.
Technical diagnostics
Hands-on measurement, equipment diagnostics and interpretation of real-world data.
Building systems for the real world
I understand the process
behind the data.
My background combines Python development with diagnostics, servicing and measurement of electrical, microscopic and medical equipment. I now apply that perspective to automation, data analysis and AI-assisted software engineering.
This changes how I build: I look for unreliable inputs, unclear decisions, missing traceability and failure modes before treating a model output as an answer.
Python application developmentData processing and analysisTechnical measurementEnglish and Czech
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