TOMMY HOANG
Tech Lead Quality Engineer
New Orleans, LA (Remote) (504) 453-8178 hoangtommyquoc@gmail.com linkedin.com/in/tommyqhoang github.com/thoangdev portfolio: thoangdev.github.io
Professional Summary
Innovative and results-oriented QA leader with 8+ years of experience in test automation, DevSecOps, API validation, and performance/security testing. Expert in leveraging Generative AI (GitHub Copilot, Claude, ChatGPT), AI agents for autonomous task execution, and Playwright MCP for rapid test case generation, intelligent bug troubleshooting, and 60% faster test coverage development. Proven success deploying AI agents to automate code updates, perform code reviews, and provide actionable insights on bug-prone areas and improvement opportunities.
DevSecOps & Test Automation AI-Powered Quality Engineering PCI & Security Compliance Mobile App Founder (10K+ Downloads)
Core Competencies
Gen AI & Intelligent Automation
GitHub Copilot, Claude, ChatGPT, AI Agents, Playwright MCP, AI-Driven Test Generation, AI Code Review, Prompt Engineering
Test Automation & Frameworks
Robot Framework, Playwright, Selenium WebDriver, Cypress, TestNG, PyTest, JUnit, Cucumber/BDD
Mobile Testing & Automation
Appium, iOS/Android Testing, Xcode, Android Studio
Performance & Load Testing
K6, JMeter, Grafana, InfluxDB, New Relic, Performance Profiling
Security & Compliance Testing
OWASP ZAP, Burp Suite, Snyk, SOC 2, HIPAA, Vulnerability Assessment
CI/CD & DevSecOps
Docker, Kubernetes, GitHub Actions, GitLab CI, Jenkins
Programming & Scripting
Python, JavaScript/TypeScript, Java, Bash/Shell, PowerShell, SQL, REST/GraphQL APIs
Cloud & Infrastructure
AWS (EC2, S3, Lambda, RDS), PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch
QA Tools & Platforms
Postman, TestRail, Tuskr, Zephyr, qTest, Jira, Confluence, Git/GitHub, Slack
Professional Experience
Senior QA Engineer
Dispel
June 2023 - November 2025
  • Built modular K6-based performance testing framework with Docker, CI/CD, Grafana, and InfluxDB
  • Automated smoke and regression testing across products (STIG, ABB, DSMD) using Robot Framework + Playwright
  • Leveraged Playwright MCP (Model Context Protocol) to rapidly generate comprehensive test coverage, reducing test development time by 60% through AI-assisted test case creation and code generation
  • Utilized Gen AI tools (GitHub Copilot, ChatGPT) to generate edge-case test scenarios, debug complex automation failures, and troubleshoot cross-browser compatibility issues with actionable suggestions
  • Deployed AI agents to autonomously perform code updates, conduct code reviews, and analyze codebases for bug-prone patterns, resulting in 35% fewer regression issues and faster defect identification
  • Integrated OWASP ZAP for security testing with robust data seeding/teardown in PostgreSQL
  • Enabled end-to-end visibility with Tuskr reporting, Slack alerts, and full-stack test coverage
  • Delivered Dispel Observability Hub—internal uptime and incident automation platform consolidating CI/CD monitors, alerting, and executive reporting (private repository)
Technical Lead (QA)
Cognizant
December 2023 - June 2025
  • Led fraud payment QA efforts for AT&T DirecTV, ensuring PCI and security compliance
  • Owned API test coverage, UI validation, and error-code monitoring using Postman and Zephyr
  • Accelerated defect root cause analysis by 40% using Gen AI to parse stack traces, identify patterns in error logs, and recommend fixes based on historical data and code context
  • Employed AI-powered test generation to create comprehensive API test suites and validate payment processing edge cases, improving test coverage from 65% to 92%
  • Leveraged AI agents to perform automated code reviews, identify security vulnerabilities in payment flows, and recommend focus areas for critical bug prevention in fraud detection logic
  • Managed Jira dashboards for tracking defect trends, full lifecycle defect management
  • Facilitated Scrum ceremonies: sprint planning, daily stand-ups, retrospectives, backlog refinement
  • Consistently delivered zero-defect launches through optimized regression pipelines
Test Manager
DXC Technology
May 2022 - October 2023
  • Delivered scalable test strategies for TVOD and MDU launches, ensuring streaming reliability
  • Automated UI and API test cases to reduce manual test hours by 70%
  • Leveraged Docker and CI pipelines for parallel execution and faster feedback loops
Automation Engineer
insightsoftware
November 2021 - May 2022
  • Built automated test suites for financial Excel plugins using Ranorex with C#
  • Deployed Dockerized environments for scalable cross-platform test scenarios
  • Enhanced test coverage for data validation and financial formula accuracy
Quality Engineer
Dialexa (IBM)
February 2021 - October 2021
  • Led iOS and Apple Watch QA for glucose monitoring app, validating compliance and reliability
  • Conducted data sync testing across mobile/health platforms and built performance benchmarks
Software Engineer in Test
Accruent (Fortive)
November 2018 - February 2021
  • Architected CI/CD-ready security and performance test suites
  • Built onboarding automation tools to streamline setup and reduce errors
  • Conducted continuous regression testing to support fast, stable deployments
Education
Bachelor of Science - Computer Information Systems
Southern University at New Orleans
January 2015 - December 2017
Associate of Applied Science - Computer Information Technology
Delgado Community College
January 2012 - December 2014
Certifications & Awards
• CompTIA Security+ Certified
• AWS Certified Cloud Practitioner
• Google Cybersecurity Certificate
• Google Project Management Certificate
• Professional Scrum Master (Scrum.org)
• 70% Reduction in Manual Testing Time
• Successfully Led Fraud Prevention QA for AT&T DirecTV
• Built Performance Testing Pipelines from Scratch
• 60% Faster Test Development with Gen AI
Key Achievements
  • Launched 5+ major features with near-zero production bugs
  • Reduced test development time by 60% using Playwright MCP and Gen AI for automated test case generation
  • Improved API test coverage from 65% to 92% through AI-powered test generation and edge-case validation
  • Accelerated defect root cause analysis by 40% leveraging Gen AI for stack trace parsing and pattern recognition
  • Reduced regression issues by 35% using AI agents for autonomous code reviews and bug pattern analysis
  • Prevented payment fraud at scale through proactive security testing
  • Built performance testing pipelines from scratch using cloud monitoring