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QA Engineer with 1+ years in Quality Assurance, manual and automation testing.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quality Assurance Engineer with hands-on experience in manual testing and strong foundational knowledge in automation testing using Selenium (Java) and Playwright (JavaScript). Skilled in functional, regression, smoke, API, database, web, and mobile application testing. Experienced in test case design, defect tracking using Jira, and API validation using Postman. Good understanding of SDLC, STLC, and Agile (Scrum) methodologies. Actively building automation frameworks and enhancing skills to contribute effectively in automation-driven QA environments.
GSFC University, Vadodara
B.Tech · Computer Science & Engineering Spec. AI/ML
September 1, 2022 – May 1, 2025
Maharaja Sayajirao University, Vadodara
Diploma · Computer Engineering
July 1, 2019 – May 1, 2022
OpenEyes Technologies
Associate QA
January 1, 2025 – Present
India
Oasis Infobytes
Java Development Intern
December 1, 2024 – December 1, 2024
India
IBM SkillBuild
Data Analyst Intern
July 1, 2024 – August 1, 2024
India
CCI (Competency and Credentialing Institute)
June 28, 2026 – Present
• Executed manual testing (functional, regression, API, database) for web application. • Created and executed test cases and test scenarios. • Logged and tracked defects using Jira. • Supported automation testing using Selenium and Playwright.
HRMS (Human Resource Management System)
June 28, 2026 – Present
• Conducted functional and regression testing for HRMS modules. • Validated employee, leave, attendance, and payroll functionalities. • Created test cases and coordinated with developers for defect resolution.
Swag Labs (E-Commerce Testing)
June 28, 2026 – Present
• Built end-to-end UI automation using Playwright (JavaScript). • Created reusable helper functions for login, cart, and checkout flows. • Automated key scenarios: authentication, product selection, cart, and checkout. • Performed cross-browser testing (Chromium, Firefox, WebKit). • Used Playwright Test Runner with assertions and reporting. • Managed code using Git and GitHub.
Plant Disease Detection
June 28, 2026 – Present
• Developed a deep learning model using MobileNetV2 and TensorFlow to classify plant diseases from the PlantDoc dataset with 91.52% training accuracy and 86.80% validation accuracy. • Implemented data augmentation, transfer learning, and optimizations to improve model performance.
Smart Phishing Detection
June 28, 2026 – Present
• Developed a machine learning-based phishing detection system using Python, Flask, and SQLite. • Trained a Random Forest model with high accuracy (~95%) to classify URLs as phishing or legitimate. • Integrated a Flask web app for real-time URL analysis and stored detection logs in a SQLite database for tracking.
Cultural Fit Analysis
The candidate's project diversity, including academic projects in AI/ML and professional QA roles, indicates a broad interest in technology and a willingness to explore different domains. Their current role as an Associate QA and the academic projects align well with a QA Engineer target role, showing a focused career path. The blend of manual and automation skills, along with exposure to different programming languages (Python, Java, JavaScript), suggests adaptability and a continuous learning mindset, which are positive indicators for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and skill development, particularly in automation testing (Playwright). Their experience in defect tracking with Jira and coordination with developers suggests good operational fit for a QA role. The academic projects in AI/ML indicate an analytical mindset and problem-solving skills, which are beneficial for complex testing scenarios.