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madara66613/README.md

Denys Diachenko

Junior IT candidate based in Poznań, Poland, interested in Application Support, QA, ERP, Backend, DevOps, AI/ML, and Game Development.

I build portfolio projects that turn practical workflows into verifiable software: testable QA case studies, contract-testing tools, typed React applications, CI pipelines, and Unity gameplay prototypes. I focus on clear scope, reproducible setup, documented limitations, and evidence that a reviewer can inspect.

Current Technical Stack

Area Tools and technologies used in my public projects
Languages TypeScript, C#
Frontend React, Next.js, Vite, Tailwind CSS
Testing and QA Playwright, Vitest, Testing Library, manual test design, defect analysis, risk-based testing
API and backend foundations Next.js route handlers, OpenAPI 3.1, runtime validation, JSON workflows
DevOps and delivery Git, GitHub Actions, GitHub Pages, CI checks
Game development Unity 6, Unity Input System, deterministic state machines, EditMode tests

Selected Projects

Project Focus Evidence
QA Case Study Lab Manual and risk-based QA, defect analysis, explainable release decisions, Playwright Live demo
API Contract Testing Lab OpenAPI, positive/negative contract checks, mutation proof, CLI reporting Source and runbook
AI Job Application Tracker Next.js product workflow, validation, local persistence, AI provider/fallback integration Source and screenshot
Bug Bash Arena Interactive QA game, severity decisions, accessible React UI, deterministic scoring Play the game
Ashen Vale — Agentic Game Studio Unity/C# gameplay systems, editor-built scenes, tests, documented AI assistance Current development status

What These Projects Demonstrate

  • Designing test cases and defects around risk, expected behavior, and release impact.
  • Building typed interfaces and domain logic with automated verification.
  • Handling invalid input, corrupted local data, external-provider failure, and deterministic fallback states.
  • Connecting local checks to GitHub Actions and deployed static demos.
  • Documenting architecture, setup, engineering decisions, limitations, and next steps without presenting planned work as finished.

Current Learning Focus

  • Application Support troubleshooting, incident communication, and operational documentation.
  • API testing depth: schema automation, HTTP adapters, authentication, idempotency, and CI evidence.
  • Backend and ERP foundations: data modeling, integrations, business processes, SQL, and reliable import/export.
  • DevOps fundamentals: deployment pipelines, observability, environment management, and secure configuration.
  • Unity vertical-slice integration: gameplay state, quest flow, build verification, playtesting, and presentation.

Contact

The best public contact point currently available is my GitHub profile.

I do not claim commercial IT experience in these repositories. They are portfolio projects built to show practical learning, engineering discipline, and honest technical communication.

Pinned Loading

  1. geospatial-data-platform geospatial-data-platform Public

    Geospatial data pipeline for validating, idempotently ingesting, and querying synthetic mobility events with Python, PostGIS, and FastAPI.

    Python

  2. neuralops neuralops Public

    Reproducible PyTorch log-sequence anomaly detection with FastAPI, React, Docker, and honest evidence boundaries

    Python

  3. opsforge-erp opsforge-erp Public

    Transactional inventory system demonstrating PostgreSQL modeling, idempotent workflows, row locking, FastAPI, Docker, and tests.

    Python