abhi41289 - Overview

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πŸ‘‹ Hi, I’m Abhishek Raj P

πŸš€ Senior SDET | Automation Architect | QAOps Enthusiast

β€œBuilding Test Systems That Think.”


🧠 About Me

I'm a Senior Software Development Engineer in Test (SDET) with over 10 years of experience architecting scalable automation frameworks across Playwright, Selenium, and API pipelines.

My current focus:

  • Building end-to-end automation ecosystems integrated with CI/CD (Jenkins, GitLab CI, GitHub Actions)
  • Leveraging AWS cloud and Dockerized QA pipelines
  • Exploring AI-powered testing and ML-driven test optimization through my MSc in AI & ML

I believe testing isn’t just about validation β€” it’s about designing systems that learn, adapt, and enable faster releases.


🧩 Tech Stack

Category Tools / Technologies
Languages Java, TypeScript, Python
Web UI Playwright, Selenium, WebdriverIO
API Postman, Newman, RestAssured
Performance Gatling, JMeter
Frameworks BDD (Cucumber), TestNG, POM
DevOps / QAOps Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes
Cloud AWS (S3, DynamoDB), Azure
Source Control Git, Bitbucket
Agile Tools Jira, Confluence

βš™οΈ Featured Projects

πŸ”Ή Playwright-CI-Template

Reusable Playwright + TypeScript automation framework integrated with GitLab CI.
Includes parallel execution, environment configs, and HTML reporting.

πŸ”Ή API-Automation-Newman

Postman collection runner integrated with Jenkins for backend regression testing.
Includes dynamic environment switching and data-driven test execution.

πŸ”Ή QAOps-Pipeline-Demo

Dockerized QA pipeline demonstrating test orchestration with CI/CD workflows.
Showcases test automation aligned with DevOps practices.


πŸ“ˆ Achievements

  • Reduced regression cycle time by 40% through Playwright-based reusable frameworks.
  • Improved API validation coverage by 35% via integrated Postman-Newman CLI pipelines.
  • Spearheaded Selenium β†’ Playwright migration, cutting flaky test failures by 30%.
  • Mentored QA engineers on test design patterns and GitLab CI automation.

πŸŽ“ Currently Exploring

  • AI in Testing: Using ML models for flaky test detection and prioritization.
  • LLM-Assisted Automation: Generating intelligent test scenarios from requirements.
  • Self-Healing Automation: Auto-fixing Playwright selectors with smart retry logic.

🌐 Let’s Connect


πŸ’‘ β€œGood automation is like good design β€” invisible when it works, unforgettable when it fails gracefully.”