Open to opportunities

Jèevika H

@jevikah

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Programmer Analyst automating QA with Selenium and building AI-driven apps.

India

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What I'm looking for

I’m looking for a role where I can build reliable QA automation with Selenium and extend it with AI-driven features, working with cross-functional teams and modern tooling to deliver faster releases and measurable quality gains.

I’m a Programmer Analyst at Cognizant, focused on improving software quality through automation and test framework design. I’ve engineered 50+ Selenium WebDriver test scripts in Java and built a Selenium–Cucumber–TestNG setup to streamline execution.

I delivered measurable impact by reducing manual regression effort by 65% and cutting execution time by 40%. I also partnered with cross-functional teams to expand regression coverage across 5+ release cycles, while automating 100+ scenarios for key user workflows.

Beyond QA, I build with AI and modern web stacks. I developed an AI Interviewer platform with React, Node.js, and Tailwind CSS, and completed an ML internship by creating a CNN-based osteoarthritis detection system. I enjoy translating data and NLP into practical tools, including a resume skill gap analyzer built with Streamlit.

Experience

Work history, roles, and key accomplishments

Current

Programmer Analyst

Current

Cognizant

Jul 2025 - Present (1 year)

Engineered 50+ Selenium WebDriver test scripts in Java and built a BDD framework using Cucumber with reusable step definitions. Automated 100+ login and checkout-related test scenarios and reduced execution time by 40% while improving regression coverage across multiple release cycles.

Java Selenium Webdriver Cucumber BDD Gherkin TestNG Automated Testing Regression Testing

Software Development Intern

Coffeebeans Consultancy

Oct 2024 - Dec 2024 (2 months)

Developed an AI Interviewer platform with React, Node.js, and Tailwind CSS, enabling automated mock interviews with dynamic question flows and feedback generation. Created responsive frontend components and integrated REST APIs for end-to-end full-stack functionality, improving load performance by 30%.

React Node Tailwind REST APIs Frontend Development Full Stack

Machine Learning Intern

JSS AHER

Sep 2024 - Oct 2024 (1 month)

Created a CNN-based osteoarthritis detection system for knee and hip X-rays trained on 1,000+ medical images across severity grades. Applied image processing (edge detection and texture analysis) to extract 20+ diagnostic features and collaborated with healthcare professionals to validate outputs.

Deep Learning Image Processing Edge Detection Feature Extraction Medical Imaging