📧 aleks5721501@gmail.com · 📱 @aleks5721501 · 🔗 LinkedIn · 🕒 Available for remote interviews
Building AI-powered developer tools that automate QA workflows and reduce debugging time.
I create production AI workflows that integrate LLMs into real engineering processes — not chatbot demos, but tools that run in CI/CD pipelines and save hours of manual work daily.
| Project | Description | Stack |
|---|---|---|
| xcresult-ai-assistant | AI CLI for XCTest failure analysis — categorizes failures into 30+ types, detects flaky tests, provides debugging suggestions | Python, LLM |
| claude-qa-workflows | Production Claude Code skills for QA automation — validate MRs, fix bugs, generate regression checklists | Claude API, Swift |
At my current role (4+ years in fintech):
- Regression time: 2 days → 4 hours (12x faster)
- Production defects: -30% through shift-left automation
- Flaky tests: -60% through isolated test data and deterministic mocks
Manual QA task → Identify repetitive patterns → Build LLM-powered automation → Integrate into CI/CD
I focus on practical AI integration, not proof-of-concepts:
- Prompt engineering for code review and test generation
- AI agents that understand codebase context (RAG over repo)
- Automated failure triage with confidence scoring
AI/LLM: Claude API, Prompt Engineering, RAG, MCP (Model Context Protocol) Languages: Python, Swift, Kotlin Testing: XCUITest, Playwright, pytest CI/CD: GitLab CI, GitHub Actions, Jenkins, Allure TestOps Mobile: iOS (primary), Android
Open to AI Workflow Engineer / Automation Engineer roles — Australia (482/186 visa sponsorship) or remote.