operating system · 5 public projects · 2026

I turn complex processes into working systems.

I design and build web applications and tools that support working with data, decisions, and information. I combine experience in classic web development with modern full-stack development, practical Python, data analysis, and AI tools as an integral part of the engineering toolkit.

This site presents my personal projects, research directions, and workflow. Not all projects are commercial products — some are demonstrators, educational tools, or conceptual prototypes.

01What I do

I am most often drawn to situations where work gets fragmented across spreadsheets, messages, documents, unclear arrangements, and manual checks. In these problem spaces, I design a simpler process, a clear data model, and an application to support that process.

01

Web applications

Designing and building applications from concept, data modeling, and user roles through frontend, backend, admin panel, to deployment.

02

Analytical tools

Working with data, rankings, weights, multi-criteria comparison, reporting, and result interpretation.

03

Education and didactic tools

Systems and resources for learning, teaching, instructor workflow, and organizing domain knowledge.

04

Digital Compliance & Compliance Engineering

Translating regulatory requirements into evaluation criteria, evidentiary material, quality control, and reporting.

05

Practical use of AI

AI tools in problem analysis, planning, exploring alternatives, implementation, refactoring, and documentation — not as a substitute for domain understanding.

03How I work with AI tools

I treat AI tools as an integral part of my engineering and development toolkit. For me, the greatest value is not merely in generating code, but in working on the underlying problem: clarifying requirements, outlining alternatives, identifying edge cases, comparing architectures, preparing application structure, refactoring, documentation, and testing.

In practice, this means multiple iterations: from the big picture to the details and back. First comes understanding the process, user roles, data, and constraints. Only then does implementation make sense. Effective use of AI begins before writing code.

More on how I use AI

04Potential areas of collaboration

Conversations at the intersection of web, data, education, and digital compliance.

Education & academic collaboration

Potential courses, lab sessions, student projects, didactic materials, and research on using AI in learning.

Compliance Engineering & compliance screening

Initial assessment of websites and digital processes, structuring findings, evidentiary material, and preparation for formal validation.

Process-driven web applications

Design and development of small to mid-sized web systems that bring order to specific organizational workflows.