QA Engineer with 4+ years in Manual & AI-Assisted Testing, API & Defect Management.
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 3+ years of hands-on QA experience across ERP, CRM, SaaS platforms, and Microsoft Dynamics 365. Achieves 95%+ test coverage across functional, regression, integration, exploratory, and UAT cycles. Proficient in Postman, SQL, JIRA, Azure DevOps, Swagger, and BrowserStack with expertise in defect lifecycle management and CI/CD quality gates. Converts business requirements into measurable test coverage with a proven track record of reducing post-release defects. Leverages AI tools including Claude, ChatGPT, CodiumAI, Cursor, and Claude Vision to accelerate test case generation, defect documentation, requirement analysis, and test data creation — reducing manual effort and improving reporting accuracy.
Sir Syed University of Engineering and Technology
Bachelor of Science · Software Engineering
January 1, 2018 – January 1, 2022
KoderLabs
QA Engineer
October 1, 2024 – Present
India
Canvas Digital - Lakson Group
QA Engineer
October 1, 2022 – September 1, 2024
India
Salsoft Technologies
QA Engineer
June 1, 2022 – September 1, 2022
India
Cultural Fit Analysis
The candidate has worked across multiple companies (Canvas Digital, Salsoft Technologies, KoderLabs) and platforms (ERP, CRM, SaaS, Microsoft Dynamics 365), indicating adaptability and exposure to diverse project environments. Their involvement in UAT sessions with stakeholders and coordination with developers suggests a collaborative mindset. The breadth of technical skills and methodologies aligns well with a modern QA role, demonstrating a willingness to learn and apply various approaches.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, communication, and collaboration skills, as evidenced by their ability to coordinate with developers, report progress to stakeholders, and facilitate UAT sessions. Their experience in Agile and Scrum methodologies suggests a good fit for dynamic operational environments. The use of AI tools also indicates an adaptability to new technologies and a proactive approach to improving efficiency.