SDET Automation Tester with 4+ years in Playwright, Selenium, and AI Tools
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Assessing your cultural and operational fit
Results-driven SDET / QA Automation Engineer with 4+ years of experience delivering end-to-end quality across BFSI, Insurance, and CMS/Digital Marketing domains. Expert in Playwright (JavaScript), Selenium WebDriver (Java), REST API testing with Postman & REST Assured, and BDD/TDD frameworks. Proficient in Maven/Gradle build tools, Jenkins CI/CD, Docker, AWS, and Gen AI tools (ChatGPT, GitHub Copilot). Proven record of improving test coverage by ~30% using AI-driven test generation. Actively targeting QA Automation / SDET roles in top-tier product and service companies.
Nova College of Engineering & Technology, JNTUK University
B.Tech · Mechanical Engineering
N/A – June 30, 2020
Neosoft Technologies
Sr. Software Test Engineer (SDET)
October 1, 2025 – Present
India
NSE (National Stock Exchange of India)
System Analyst
June 1, 2025 – October 1, 2025
India
Apmosys Technology Pvt Ltd
Sr. Software Test Engineer
October 1, 2022 – June 1, 2025
India
EATA Plast Fabrics Pvt Ltd
Software Engineer L2 — Manual QA
October 1, 2021 – September 1, 2022
India
AI Skill Passport
Microsoft
June 1, 2026 – Present
Docker Essentials
IBM
June 1, 2026 – Present
AWS Cloud Fundamentals
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked across multiple companies and domains (BFSI, Insurance, CMS), indicating adaptability and a broad perspective. The progression from Manual QA to Sr. SDET demonstrates a growth mindset. The use of AI tools for test generation and defect analysis aligns with a forward-thinking, technology-driven culture. The certifications in AI, Docker, and AWS suggest a commitment to continuous learning and staying current with industry trends, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates active participation in Agile Scrum ceremonies, suggesting good team collaboration and communication skills within an agile environment. The ability to author comprehensive test plans and manage the defect lifecycle points to strong organizational and problem-solving skills. Leveraging AI tools for test optimization also shows an innovative and proactive approach to improving efficiency.