Павло
AI Quality Engineer, Claude Solutions Architect, 50 000 UAH
- Employment type:
- part-time
- Age:
- 40 years
- City of residence:
- Kyiv
- Ready to work:
- Remote
Contact information
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Work experience
QA Engineer · AI Architect
from 03.2023 to now
(3 years 5 months)
Thrivestate, Дистанційно (IT)
I build the AI that does the QA.
Most teams shipping LLM and GenAI features hit the same wall: their existing QA breaks. Non-determinism, hallucinations, evaluation gaps. The deterministic playbook doesn't translate.
I design orchestrated multi-agent systems that run the testing lifecycle and hold quality in production, release after release. The outcome teams feel: releases that ship faster, and a QA budget that stops growing with the headcount.
My background runs from enterprise QA (Deloitte, Tietoevry, Infopulse) to AI-first products, where I built an AI-driven QA test-management system from scratch. On a live product the same QA team roughly doubled its throughput, bugs reaching production dropped about 80%, and manual validation effort about 70%.
What I can build for you:
• Evaluation frameworks for LLM features: precision, recall, hallucination rate, drift
• Multi-agent test pipelines that handle non-deterministic output
• Quality gates from prototype to production
• Test automation: Java/Selenide UI, RestAssured API, CI/CD
• Risk analysis at the edges of AI reliability
QA Specialist
from 10.2020 to 06.2023
(2 years 9 months)
Tietoevry Create Ukraine (formerly Infopulse Ukraine), Дистанційно (IT)
Project Description:
Development of advanced software solutions tailored to the specific needs of a Big Four client, with a focus on audit processes, financial data management, and operational efficiency.
Main Responsibilities:
- Support and Maintenance;
- Closely work with developers and business analysts;
- Design/execution/review test cases and test suites;
- Reporting defects;
- Root cause analysis;
- Analyzing software requirements
Test activities and technologies:
- Test cases design (black-box testing; experience-based testing);
- Analyzing software requirements (static test design);
- Test cases review (informal review)
- Functional, exploratory, smoke, sanity, regression, UI, cross-browser;
- API testing: Postman;
- Databases: SQL Server;
- Chrome Dev Tools.
Knowledge and skills
- SQL
- Test design techniques
- Requirements analysis
- Testing Fundamentals
- Test Cases Development
- Software Development Models and Methodologies
- Defect Management
- Test Results Analysis and Reporting
- Beta Testing
- AI Agent Development
- AI Content Editing
- AI Builder
- AI Consulting
- QA Automation
- Quality Audit
Language proficiencies
English — average
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