Oleksii Koliohlo

Project: Enterprise AI-driven hardware and software transformation focused on next-generation connectivity solutions, embedded systems, and Windows desktop applications.

• Led QA automation activities for a Windows desktop application using C#/.NET , covering UI, functional, regression, and integration testing.
• Led a team of QA automation engineers, providing technical direction, task allocation, code reviews, mentoring, and framework guidance.
• Designed and maintained modular, reusable .NET automation framework architecture using OOP and automation design patterns.
• Implemented BDD/Gherkin-based automated scenarios for critical business workflows.
• Integrated automated testing into CI/CD and scheduled QA execution workflows .
• Prioritized automation based on business impact, application stability, product risk, release priorities, and expected automation value.
• Analyzed automation results and performed root-cause analysis to distinguish product defects, automation failures, and environment issues .
• Collaborated with client, development, QA, and product teams to define automation scope, estimate effort, prioritize test cases, and resolve quality issues.
• Identified automation, environment, data-security, and reliability risks and supported mitigation activities.
• Established automation standards and best practices covering framework architecture, coding, debugging, reporting, and maintainability.

Technologies: C#, .NET, .NET Core, Windows Desktop UI Automation, WinApp/Nova Driver, BDD, Gherkin, Git, Azure DevOps, CI/CD, Visual Studio, Rider, Jira

Project: Regulated healthcare platform supporting diabetes therapy management, insulin pump devices, mobile applications, APIs, and supporting tools.

• Defined and executed QA automation strategy across API, web, mobile, and integration layers .
• Led automation framework architecture using Python, Java, and JavaScript , emphasizing scalability, reusability, maintainability, and reliability.
• Established automation governance, coding standards, reusable components, and best practices across multiple teams.
• Expanded automated coverage to 90%+ while improving regression stability and release confidence.
• Reduced test execution time by approximately 50% through framework optimization, refactoring, and parallel execution.
• Designed and maintained mobile automation using Appium and Java , increasing mobile automation coverage to 75% and improving execution efficiency by 25% .
• Built a centralized Postman/JMeter performance testing platform adopted by 12+ engineers .
• Integrated automated testing into Jenkins CI/CD pipelines , implementing continuous testing and automated quality gates.
• Developed PySpark-based data validation automation for JSON, CSV, and large-scale ETL workflows processing millions of records.
• Introduced AI-assisted test automation, LLM and MCP integrations , supporting intelligent test generation, analysis, adaptive execution, and self-healing concepts.
• Mentored and coached 5+ engineers , supporting technical growth and improving automation capabilities.
• Conducted code reviews and validated automation implementations before merge.
• Applied risk-based testing and metrics-driven quality management to prioritize automation and identify release risks.
• Collaborated with customers, developers, product owners, and QA teams to define scope, acceptance criteria, automation priorities, and release readiness.
• Supported defect triage, root-cause analysis, requirement-to-test traceability, and verification of engineering builds.
• Provided technical direction for API core modules and cross-system integrations in a regulated environment.

Technologies: Python, Java, JavaScript, REST API, Postman, JMeter, Appium, PySpark, Jenkins, Git, Bitbucket, Gradle, Allure, Jira, Confluence, Squish, Playwright, MCP, LLM

Project: Automotive in-vehicle infotainment and embedded systems involving development, integration, validation, and automation of complex vehicle software and supporting tools.

• Led a team of 7 QA automation engineers , establishing responsibilities, technical standards, performance metrics, and delivery processes.
• Increased team velocity by 25% and reduced defect escape rate by 40% through process improvements, automation strategy, and team leadership.
• Redesigned automation strategy and framework architecture, improving maintainability by 20% and reducing false-positive results by 30% .
• Increased automated test coverage from 65% to 80% through risk-based planning, framework improvements, and alignment with product priorities.
• Designed and maintained automated functional, regression, integration, system, and acceptance test suites.
• Implemented Page Object Model and reusable automation components, reducing code duplication by approximately 40% .
• Developed and maintained 1,000+ automated test scripts using a custom project-oriented automation system.
• Created and executed 300+ test cases across functional, regression, integration, system, and acceptance testing.
• Established test planning, requirement traceability, risk management, test estimation, reporting, and release-readiness practices.
• Mentored automation engineers on automation architecture, coding standards, debugging, and test design.
• Collaborated with developers, analysts, product teams, and stakeholders to define acceptance criteria and comprehensive test coverage.
• Identified bottlenecks in inter-component interfaces and implemented improvements that reduced testing-related defects by 25% .
• Established quality metrics and reporting providing visibility into coverage, defect trends, automation results, and release readiness.
• Performed exploratory testing and systematic defect analysis using Jira and project test management tools.

Technologies: Python, REST API, Git, Jenkins, CANoe, PyCharm, Jira, Confluence, UI Automation, Page Object Model, Test Management, Risk Management