Senior Software Quality & Test Automation Engineer
Focused on test automation architecture, protocol/driver tooling, non-flaky test engineering, and AI agent browser integration.

Contact: nguyenvanhuy0612@gmail.com | LinkedIn | GitHub

• Languages: Python, Java, JavaScript, Node.js, SQL, Bash, PowerShell
• Automation & Testing: Selenium 4, Cucumber BDD, Robot Framework, Appium, REST Assured, JUnit 5, Allure
• Protocols & Tooling: Chrome MV3 Extensions, Model Context Protocol (MCP), CLI Tooling (cli.js), Appium FlaUI & NovaWindows Drivers
• DevOps & Infrastructure: Docker, Selenium Grid, GitHub Actions, Jenkins, GitLab CI

Production-style hybrid UI + API BDD automation framework built with Java 17, Cucumber 7, Selenium 4, REST Assured, and Allure reporting in GitHub Actions CI. Features externalized locators, thread-safe parallel execution, and a Docker Selenium Grid setup.

Chrome MV3 Extension, local WebSocket/HTTP bridge server, CLI (cli.js), and MCP server enabling AI agents to drive Chrome browsers over a neutral API using DOM-first element references and background tab control.

Custom Appium driver published on npm for Windows desktop automation, backed by a compiled C# FlaUI sidecar to eliminate driver-level flakiness in native UI test suites.

Appium 3 Windows driver powered by PowerShell execution and Koffi FFI bindings, designed to bypass UI Automation limits and handle complex Windows desktop automation edge cases.

Custom keyword library published on PyPI for Robot Framework, supporting Windows desktop automation, process execution, and remote test workflows.

• Resilience Over Workarounds: Prioritizing explicit waits, driver-level stability, and reliable locator strategies over arbitrary sleeps or superficial patches.
• Protocol & API Centric: Building clean abstractions using raw HTTP/WebSocket, CDP, and MCP protocols between test logic and browser runtimes.
• API-as-Scaffolding: Combining API seeding and cleanup with UI automation for fast, deterministic test execution.