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Software Engineer with 2+ years in AI-driven Test Automation, API Testing & Agile Methodologies
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Software Test Engineer with 2.5 years of experience in developing and executing comprehensive test strategies across web and mobile platforms. Proficient in AI-driven test automation frameworks using Playwright, API testing with Postman, and managing defects with JIRA. Demonstrated expertise in functional, regression, integration, and end-to-end testing, ensuring high-quality product delivery within Agile environments.
Institute of Engineering and Technology DAVV, Indore
Bachelor of Engineering · Electronics and Telecommunication
July 1, 2019 – May 1, 2023
Good Earth on Payroll of WV Automation
Software Test Engineer
January 1, 2024 – Present
Delhi, Delhi, India
WV Automation (Project - Proxima ride)
Software Test Engineer
May 1, 2023 – December 1, 2023
Delhi, Delhi, India
MMVY Scholarship for academic excellence
Unknown
June 19, 2026 – Present
Solved 100+ problems on coding platforms
Unknown
June 19, 2026 – Present
100 days of code (The complete python pro bootcamp)
UDEMY
June 19, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily focused on Quality Assurance and Software Test Engineering roles. While they have strong technical skills in testing, their resume does not explicitly showcase direct software development experience (e.g., feature development, system design, backend services). This might indicate a cultural fit more aligned with a dedicated QA or SDET role rather than a general Software Engineer position, which typically requires broader development responsibilities. The projects are diverse in terms of domain (e-commerce, ride-sharing) but consistently within the testing vertical.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, teamwork, and attention to detail, which are crucial for a Software Engineer role. Their experience in Agile environments suggests good operational fit for collaborative development teams. The use of AI tools like ChatGPT and GitHub Copilot indicates a proactive approach to leveraging modern technologies for efficiency.