Akshay Balagoni
Lead Software Engineer in Test @Epsilon
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WORK HISTORY
Lead Software Engineer in Test @Epsilon
San Diego, US
Built automation test frameworks from scratch using Playwright and Selenium for UI testing.• Led adoption of AI-based productivity tools like ChatGPT and GitHub Copilot in test authoring and debugging.• Explored and integrated AI agents to perform automated test execution and result triage.• Designed and executed robust test plans for automotive platform features; collaborated with cross-functional teams.• Created and maintained test automation pipelines using Azure DevOps and Jenkins• Developed API test automation using Rest Assured, Postman, and Java.
EDUCATION
San Francisco Bay University
Master's degree, Computer Science
Jawaharlal Nehru Technological University
Bachelor's degree, Electrical, Electronics and Communications Engineering
ABOUT AKSHAY BALAGONI
I am a Senior SDET / QA Automation Engineer with 9+ years of experience designing scalable automation frameworks and leading quality engineering across enterprise-level, high-traffic applications. I specialize in modern testing ecosystems using Playwright (TypeScript), Selenium (Java and Python), API automation, CI/CD pipelines, and AI-powered testing that accelerates releases while improving product reliability.I bring a strong engineering mindset with an automation-first approach. I’ve built end-to-end UI, API, and backend frameworks, introduced shift-left testing, strengthened CI pipelines, implemented parallel execution, reduced flaky tests, and transformed slow QA cycles into intelligent, self-healing automation systems.I actively integrate Amazon Q, ChatGPT, GitHub Copilot, GrokAI, Gemini, and OpenAI APIs for test case generation, synthetic data creation, log analysis, debugging insights, code optimization, and smarter regression selection. I’m passionate about bringing AI into every layer of QA—accelerating development while improving product stability.I also work with observability platforms like New Relic and Splunk to build synthetic monitors, analyze performance patterns, create dashboards, and set proactive alerting that identifies issues before they reach users.Trending tools I work with or understand:• UI Automation: Playwright, Selenium, Cypress• API & Backend Testing: Rest Assured, Postman/Newman, K6 API testing, Karate• Performance Testing: JMeter• Cloud & DevOps: Azure DevOps, Jenkins, GitHub Actions.• Cross-Browser Testing: BrowserStack, Sauce Labs• Databases: Oracle, SQL Server, PostgreSQL, MySQL• AI/ML in Testing: Amazon Q, ChatGPT, Copilot, GrokAI, Gemini, LangChain for test workflows• Observability: New Relic, Datadog, Splunk• Reporting: Cucumber Reports,Allure, Extent ReportsI believe the future of QA combines automation, AI, observability, and continuous quality to enable teams to build faster, safer, and more reliable software. I enjoy designing frameworks that scale, uplifting teams through best practices, and enabling a culture of quality engineering.I’m always open to connecting with engineering leaders, recruiters, and teams who want to leverage advanced automation, AI-driven testing, and modern QA strategies to strengthen their software delivery.
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