Headline

Manual & Automation Test Engineer (SDET) |Immediate Joiner| AI-Augmented Testing Specialist | Selenium, Java, TestNG | API & Database Testing | GitHub Copilot | Healenium Self-Healing Automation | Open to Work

About

I'm a Manual & Automation Test Engineer (SDET) with 2+ years of experience helping enterprise teams ship reliable software faster — by combining disciplined manual testing practices with automation and AI-augmented QA techniques. What I do: I own testing end-to-end across the STLC — from test case design, test plans, and requirement analysis to Functional, Regression, Smoke, Sanity, SIT, and UAT — for enterprise web and iOS applications. I build and maintain Selenium WebDriver automation frameworks using Java and TestNG with the Page Object Model, and I validate systems at the API layer (REST/SOAP via Postman) and database layer (SQL) to catch issues before they reach production. Where I add extra value — AI-Augmented Testing: I don't just use AI tools, I use them deliberately and validate everything they produce: AI-assisted test case generation from user stories using GitHub Copilot with targeted prompts for edge cases and coverage Self-healing automation with Healenium and AI-powered locator strategies, cutting script maintenance after UI redesigns AI-accelerated Selenium/Java scripting, paired with rigorous manual code review before anything merges to production This "human-reviewed AI" approach has helped me speed up test design, reduce script breakage, and keep automation frameworks maintainable as applications evolve. Impact I've delivered: At Cognizant Technology Solutions, I contributed to 99.9% defect-free production releases, reduced integration defects by 20-30% through early functional/API/SQL testing, and drove RCA and defect triage with developers and BAs to zero critical production issues during hypercare. Tools & Technologies: Selenium WebDriver, Java, TestNG, JUnit, Postman, SQL, JIRA, Confluence, Git/GitHub, Maven, Gradle, Jenkins, GitHub Copilot, Healenium I'm passionate about quality engineering that blends strong manual testing fundamentals with smart use of AI — not replacing testers, but making them faster and more effective. Currently open to Manual/Automation QA and SDET roles where I can bring this AI-augmented testing approach to a growing engineering team. Let's connect — always happy to talk testing, automation, or how AI is reshaping QA, also I am an immediate joiner.

Location

Bengaluru

AI stack

github copilot

Work experience

Programming Analyst at Cognizant, Sep 2024 - Jun 2025 · 10 mos, Hybrid, Owned end-to-end manual and automation testing for enterprise web and iOS applications, combining traditional QA rigor with AI-augmented testing techniques to accelerate delivery without compromising quality. Designed and executed manual test cases, test plans, and exploratory/ad-hoc testing, achieving 100% test coverage and a 99.9% defect-free launch record. Performed manual and automated E2E, Functional, API (REST, Postman), and Database (SQL) testing across Chrome, Edge, and iPad Safari, reducing integration defects by 20-30%. Executed full STLC (Smoke, Sanity, System, SIT) within Agile/SDLC, led UAT sign-off, and drove Hypercare RCA with Developers/BAs — triaging defects in JIRA to zero critical production issues. Built and maintained Selenium WebDriver/Java/TestNG regression automation scripts, sustaining a 99.9% bug-free production record while cutting manual regression effort. Used GitHub Copilot for AI-assisted test case generation from user stories via targeted prompts specifying context, edge cases, and expected output — speeding up test design and coverage consistency. Implemented Healenium self-healing automation with AI-powered locators, replacing brittle hardcoded XPath/CSS selectors and cutting script maintenance after UI redesigns. Leveraged GitHub Copilot to accelerate Selenium/Java scripting and refactoring, applying rigorous manual review of AI-generated code to ensure production-grade reliability.

programmer Analyst tainee at Cognizant, Sep 2023 - Sep 2024 · 1 yr 1 mo, Hybrid, Owned end-to-end manual and automation testing for enterprise web and iOS applications, combining traditional QA rigor with AI-augmented testing techniques to accelerate delivery without compromising quality. Designed and executed manual test cases, test plans, and exploratory/ad-hoc testing, achieving 100% test coverage and a 99.9% defect-free launch record. Performed manual and automated E2E, Functional, API (REST, Postman), and Database (SQL) testing across Chrome, Edge, and iPad Safari, reducing integration defects by 20-30%. Executed full STLC (Smoke, Sanity, System, SIT) within Agile/SDLC, led UAT sign-off, and drove Hypercare RCA with Developers/BAs — triaging defects in JIRA to zero critical production issues. Built and maintained Selenium WebDriver/Java/TestNG regression automation scripts, sustaining a 99.9% bug-free production record while cutting manual regression effort. Used GitHub Copilot for AI-assisted test case generation from user stories via targeted prompts specifying context, edge cases, and expected output — speeding up test design and coverage consistency. Implemented Healenium self-healing automation with AI-powered locators, replacing brittle hardcoded XPath/CSS selectors and cutting script maintenance after UI redesigns. Leveraged GitHub Copilot to accelerate Selenium/Java scripting and refactoring, applying rigorous manual review of AI-generated code to ensure production-grade reliability.

QEA-SDET INTERN at Cognizant, May 2023 - Sep 2023 · 5 mos, On-site, Gained hands-on foundation in manual and automation testing through academic and real-world projects, building core QA skills alongside early exposure to AI-assisted testing tools. Designed and documented manual test cases across three academic/hands-on projects (hackathon and capstone), applying structured test scripting, defect logging, and Git/GitHub version control. Built Selenium WebDriver/TestNG automation scripts in Java using Maven, gaining hands-on exposure to Selenium Grid for parallel test execution. Collaborated within Agile-style project workflows, applying test design and defect tracking practices aligned with industry STLC standards. Gained practical exposure to Jenkins CI/CD pipelines, understanding how automated test suites integrate into continuous build and deployment processes. Explored GitHub Copilot for AI-assisted test script drafting and boilerplate Selenium/Java code generation, critically reviewing all AI suggestions against test requirements and coding standards before use. Developed a strong foundation in balancing speed gains from AI code assistance with the manual validation discipline required for production-grade automation.

Education

Bachelor of Technology, Computer Engineering, haldia institute of technology