Vlad D.

• Designed, maintained, and executed manual and automated test cases for a complex enterprise software platform using Xray and Jira.
• Created and maintained end-to-end and regression test suites, with a strong focus on critical user workflows and release validation.
• Converted large sets of manual test cases into reusable Cucumber scenarios to support the transition to automated testing.
• Developed and expanded a test automation framework, including proof-of-concept initiatives, visual testing, authentication test coverage, and CI/CD integration.
• Created test plans, test executions, and traceable QA documentation while improving overall test coverage across multiple product areas.
• Performed functional, regression, integration, and end-to-end testing, identifying defects and collaborating closely with developers to resolve issues.
• Participated in sprint ceremonies, backlog refinement, release planning, hotfix validation, and cross-functional QA activities throughout the development lifecycle.
• Contributed to the continuous improvement of QA processes, test strategies, and automation practices within an Agile development environment.

• Tested LLM-powered and AI-driven features integrated into a web platform
• Validated prompt behavior and response quality (relevance, correctness, consistency, and hallucination risks)
• Performed functional testing of AI workflows, including user inputs → model responses → UI rendering
• Tested edge cases and negative scenarios (ambiguous prompts, invalid inputs, empty responses, timeout handling)
• Verified determinism vs. variability of LLM outputs across repeated runs
• Tested context handling, memory usage, and conversation continuity
• Validated fallback mechanisms when AI services failed or returned low-confidence responses
• Ensured content safety and compliance, checking for inappropriate, biased, or restricted outputs
• Performed integration testing between frontend, backend, and external AI/LLM services
• Automated sanity and smoke tests (Cypress) to validate AI feature availability at PR and release stages
• Monitored performance characteristics (latency, rate limits, throttling, error handling)
• Collaborated on defining AI testing strategies and acceptance criteria for non-deterministic systems

Cybereason is a global cybersecurity firm providing EDR and XDR platforms for advanced endpoint protection.

• Built a Pytest-based automation framework to validate Cybereason sensor deployments across Linux, macOS, and Windows.
• Automated SSH connections, system interrogation, and log collection using custom Pytest fixtures, reducing manual checks by 70%.
• Created parameterized test cases with YAML-driven configurations to ensure coverage across operating system variants and network topologies.
• Designed mocking and stubbing strategies to simulate database, API, and sensor dependencies, enabling faster and more isolated test runs.
• Optimized test execution time using pytest-xdist for parallel execution, significantly accelerating regression cycles.
• Integrated HTML and JUnit reporting for distributed teams through Jenkins and GitHub Actions.
• Applied tagging strategies, including smoke, regression, and integration tags, to enable targeted testing within CI/CD pipelines.
• Verified telemetry and event logging against MongoDB, ensuring data consistency across distributed systems.

Foxway is a European e-commerce and circular tech company specializing in device lifecycle management and digital retail platforms.

• Designed and executed manual and automated testing strategies for Magento 2-based e-commerce systems and APIs.
• Built automation frameworks using Cypress, Playwright, and Selenium, reducing regression testing time by more than 50%.
• Conducted API testing with Postman and validated database integrity across PostgreSQL and DynamoDB.
• Integrated QA automation into Jenkins CI/CD pipelines, enabling reliable smoke and regression testing before every release.
• Managed the entire defect lifecycle, from identification and triage through resolution, ensuring timely issue resolution and delivery.
• Standardized test management and reporting through TestRail and Jira, improving visibility and team collaboration.
• Delivered data-driven quality metrics and reports to stakeholders to support informed product decisions.

4D Pipeline is a digital innovation studio collaborating with Epic Games, SolidWorks, and Porsche Engineering to build next-generation 3D and visualization software.

• Led QA efforts across multiple 3D-focused projects involving Unreal Engine, Epic Games, SolidWorks, Modo, and Blender, ensuring seamless integration and stability across platforms.
• Validated Direct Link functionality for real-time scene imports from SolidWorks to Unreal Engine, enabling live manipulation of 3D assets between applications.
• Designed and executed comprehensive testing across web, desktop, and mobile applications within Jenkins CI/CD pipelines, building and maintaining test environments to ensure reliability.
• Developed automation frameworks using Selenium with Java, Cypress with JavaScript/TypeScript, and Python, streamlining regression coverage and reducing manual testing time.
• Performed API testing with Postman and validated RESTful and SOAP services under functional, load, and stress conditions to ensure robust system integrations.
• Applied black-box and white-box testing methodologies to validate complex 3D software functionality, ensuring both system-level and code-level quality.
• Utilized AWS services, including EC2, S3, DynamoDB, API Gateway, and CloudSearch, for architecture, deployments, and production operations, complemented by Azure DevOps for project management.
• Implemented Docker-based testing workflows, including building images and running containers for new features and automation scripts.
• Diagnosed, documented, and tracked defects using Jira, collaborating closely with development teams to resolve issues.
• Conducted performance testing and optimization that improved the responsiveness and throughput of high-demand services and workflows.

Porsche Engineering is an automotive R&D company delivering high-end vehicle technologies and embedded software solutions.

• Designed Python automation scripts and test cases for Hardware-in-the-Loop (HiL) validation systems.
• Automated functional tests using EXAM, increasing test coverage and repeatability across embedded systems.
• Developed and deployed CANoe, LabVIEW, and TestStand environments for system simulation and validation.
• Applied black-box and white-box testing to validate code compliance with MISRA C standards.
• Performed code reviews and quality checks, ensuring adherence to safety-critical automotive requirements.
• Created detailed test specifications, traceability matrices, and reports for all testing phases.
• Conducted root cause analysis and collaborated closely with engineers to resolve critical software defects.
• Generated performance and compliance metrics using QAC, Klocwork, and QACPP analysis tools.

Emerson is a global technology and engineering company specializing in industrial automation and process control systems.

• Ensured all engineering activities were executed in compliance with specifications, statutory requirements, safety standards, and contractual obligations, with a strong focus on operability and maintainability.

• Maintained responsibility for the technical correctness of software, instrumentation, and supporting documentation, ensuring accuracy and compliance throughout the project lifecycle.

• Designed and configured control systems in DeltaV, including development of typical functions and operator Human-Machine Interfaces (HMI).

• Led internal software testing, Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and client-site startups, guaranteeing reliable deployment and smooth commissioning.

• Defined and applied engineering standards, procedures, and best practices, introducing improvements to tools and workflows to optimize efficiency and quality.

• Oversaw hardware design activities, collaborating closely with the Hardware Group Leader and Project Manager to support cabinet builders and the FSO project team.

• Coordinated hardware FAT, internal testing, system documentation, and test procedures, ensuring alignment across cross-functional teams.

• Managed shipment and logistics for hardware delivery, supporting seamless integration into project timelines.

• Contributed to project management tasks as needed, including planning, coordination, and cross-team communication.