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Janaki MJM
Open to opportunities

Janaki M

@janakim

I build maintainable Selenium automation frameworks and validate web applications through thorough manual and API testing.

India
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What I'm looking for

I'm looking for a QA role where I can contribute to manual and Selenium automation testing, collaborate in Agile teams, and grow my skills in framework design, API testing, and high-quality software delivery.

I've tested Swag Labs at VinoMinds Software Technologies, covering login, product selection, cart updates, and checkout through manual testing and Selenium WebDriver automation.

I build reusable Java automation frameworks with Selenium WebDriver, TestNG, Maven, and the Page Object Model. My personal framework automated functional scenarios for a live test site, including forms, dropdowns, and navigation.

Previously at Movate Technologies, I performed system validation, monitored logs, documented reproducible issues, and collaborated with developers and product owners to improve resolution and release quality.

Experience

Work history, roles, and key accomplishments

VT
Current

Manual And Automation Trainee

VinoMinds Software Technologies

Mar 2026 - Present (5 months)

Performed manual testing of key modules such as login, product selection, cart update, and checkout on the Swag Labs e-commerce web application. Developed basic automation test scripts using Selenium WebDriver and TestNG, and implemented Page Object Model (POM) structure for maintainable code.

MT

Trainee

Movate Technologies

Jun 2025 - Mar 2026 (9 months)

Performed system validation and troubleshooting to ensure software reliability and stability. Monitored system logs, identified and documented issues, and collaborated with team leads and developers to improve issue resolution processes.

Education

Degrees, certifications, and relevant coursework

Malla Reddy University logoMU

Malla Reddy University

Bachelor of Technology, Computer Science and Engineering (AI & ML)

2021 - 2025

Grade: 8.93/10

Pursued a Bachelor of Technology in Computer Science and Engineering with a focus on AI and ML, achieving a CGPA of 8.93/10.

Tech stack

Software and tools used professionally

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