AndriiKhaliavkin
I turn ideas into useful digital products, combining product thinking, quality engineering, and practical experimentation with AI.

01 Selected project — 2026
OCCAM PM / A small anti-Jira
A smaller
anti-Jira.
A project workspace for teams who want to manage the work, not a process around it. It starts with TODO and DONE, then adds depth only when it helps.
For PMs
Paste a rough outline and turn it into a nested plan with bulk create.
For developers
Connect your own AI client through MCP to create, search, and update work.
Product evidenceBulk → hierarchy → QA



02 Selected project — 2026
SQLDojo / SQL interview practice
Learn SQL
by querying.
A browser-based SQL practice environment with guided exercises, filtered challenges, interactive database maps, and a live playground for trying out your own ideas.
For learners
Move from SQL concepts to working queries against real database structures.
For interviews
Generate a focused challenge, inspect the schema, and check the result against a reference answer.
Product evidenceSchema → solve → sandbox



03 Selected project — 2026
RF Practice / Robot Framework learning
Build skills.
Prepare for RFCP.
Learn Robot Framework in two ways: work through runnable exercises, then prepare for RFCP certification with 500+ questions organised around the syllabus.
Exercises
Write and run Robot Framework code in the browser, then inspect terminal output, logs, and reports.
RFCP prep
Choose a chapter or topic for focused practice, or take a timed 40-question exam and review missed answers.
Product evidenceCode → exam → review



04 Selected project — 2026
Fundacja Dzieci Wdowy / Client site
Public site
for the foundation.
Public website for Fundacja Dzieci Wdowy Józefa Grodzkiego, replacing their previous WordPress site.
Scope
About, projects, activities, bank-transfer details, and a contact form.
Stack
Next.js on Vercel. Contact mail through Resend.
Product evidenceLanding → donate → contact



05 Selected project — 2026
AI-driven coop quest / In development
A gamified
coop quest.
A browser world for a cooperative, AI-driven quest. It is still in development: join a ship, walk the map, and see other visitors in real time.
Architecture
Unity WebGL in the browser. Cloudflare R2 and a Worker serve the build. A Node WebSocket world-server on Railway handles join and presence.
Keywords
2.5D ship map, WebGL, Workers, R2, WebSocket presence. Quest logic is not finished.
Product evidenceCafeteria → weapons → AI lab


