Help & Supportcareers@gravityer.com
QA Engineer with 2+ years in manual and automation testing of web and mobile applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented QA Engineer with 2+ years of experience in manual and automation testing of web and mobile applications. Skilled in Selenium, Appium, REST Assured, Postman, JMeter, and TestNG. Strong expertise in API validation, regression testing, bug tracking, and test case design. Experienced in Agile environments, ensuring high-quality and reliable software delivery.
Ajay Kumar Garg Engineering College (AKGEC), Ghaziabad
M.C.A. · Computer Science
N/A – June 30, 2024
CCSU, Meerut
B.C.A. · Computer Science
N/A – June 30, 2021
Blinkems
QA Engineer
January 1, 2025 – Present
India
Meon Technologies Pvt. Ltd.
QA Engineer
September 1, 2023 – December 1, 2024
India
Media Monitoring AI Testing
June 15, 2026 – Present
Validated an AI-based media monitoring system for content tracking, keyword detection, sentiment analysis, real-time data processing, and accuracy through functional and API testing.
AI Chatbot Testing
June 15, 2026 – Present
Tested AI chatbot functionality including intent recognition, response validation, conversation flow, prompt accuracy, fallback handling, and API integration to ensure accurate and context-aware responses.
View ProjectCultural Fit Analysis
The candidate's experience across two companies and involvement in diverse projects (web, mobile, AI systems) suggests adaptability. The educational background in Computer Science provides a strong foundation. The listed skills cover a broad spectrum relevant to a modern QA role, indicating a willingness to learn and apply new technologies. The focus on reducing production defects by 30% shows a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's resume indicates a detail-oriented approach and experience in Agile environments, suggesting good operational fit. The project descriptions highlight problem-solving in complex AI systems. However, without specific assessment data on communication or psychometric traits, a definitive evaluation of soft skills is limited.