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QA Automation Engineer with 2+ years in Quality Assurance and Testing
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Assessing your cultural and operational fit
Highly motivated Quality Assurance Engineer with 2.2 years of experience in manual and automation testing for mobile, web, and API platforms. Proficient in developing comprehensive test cases, identifying and documenting bugs, and ensuring product quality across the SDLC. Skilled in using tools like Selenium WebDriver, Postman, Jira, and Excel, with a strong background in SQL, Power BI, Python, and Java for diverse client-based projects.
Delhi Global Institute of Technology, MDU
Bachelor of Technology · Computer Science
August 1, 2019 – June 30, 2023
Mata Gujri Public School
Senior Secondary
June 1, 2018 – May 31, 2019
Techugo Private Limited
Associate Software Engineer(QA)
August 1, 2025 – December 31, 2025
India
Tekonika Technologies Pvt Ltd
Quality Assurance Engineer
July 1, 2024 – July 31, 2025
India
Indus Valley Partners Pvt. Ltd.
Tech Intern
December 1, 2023 – July 31, 2024
India
Real-Time Object Detection
March 1, 2023 – May 31, 2023
Implemented object detection using YOLO v5 and OpenCV with models trained on COCO dataset. This system detects and identifies objects in images and videos. Potential applications include automated enforcement for traffic regulations, such as helmet usage compliance.
Cultural Fit Analysis
The candidate has experience in client-based projects across different domains (e.g., agroforestry, social media, real estate, cricket association), indicating adaptability and exposure to diverse work environments. The academic project on object detection shows an interest in broader technical areas beyond core QA, suggesting a curious and learning-oriented mindset. The listed personal interests (sports, trekking) suggest a well-rounded individual who values teamwork and perseverance.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, focused work, and time management skills, which are crucial for operational fit in a QA role. Participation in daily stand-ups and sprint planning indicates an understanding of agile methodologies. The project descriptions are clear, suggesting good communication skills in a professional context.