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QA Automation Engineer with 4+ years in Test Automation & API Testing.
QA Automation Engineer with 4 years of hands-on experience in test automation, manual testing, API testing, and mobile testing for a cloud-based networking platform. Primary expertise in Selenide with Java for UI automation – developing and maintaining test scripts for new features, including end-to-end payment automation for subscription upgrades and device credit pack purchases. Experienced in regression execution and defect debugging on a production platform. Comfortable working with AI-assisted tools (ChatGPT, GitHub Copilot, Cursor AI, Claude) for tricky logic, REST Assured scripts, and recent Playwright TypeScript work. Strong manual testing foundation across functional, regression, mobile, and API testing using Postman, with solid domain understanding of networking concepts (Access Points, SSID, VLAN, DHCP, firmware lifecycle).
Pune University
Bachelor of Engineering (B.E.) · Instrumentation and Control
August 1, 2011 – June 30, 2015
VVDN Technologies Pvt Ltd
QA Automation Engineer
June 1, 2022 – Present
Pune, Maharashtra, India
Netgear Insight
June 1, 2022 – Present
Cloud-based platform for managing networking devices (Access Points, Switches, Routers) remotely from a centralized web dashboard. Involved in UI automation using Selenide/Selenium with Java, end-to-end payment automation, API automation with REST Assured, and recent work with Playwright/TypeScript for a new web portal.
Cultural Fit Analysis
The candidate exhibits strong adaptability and a modern approach by working with diverse technologies (Java, Python, TypeScript) and multiple automation frameworks within a single project. The willingness to leverage AI-assisted tools for efficiency and problem-solving aligns well with innovative and forward-thinking team cultures. Active participation in Agile ceremonies suggests a collaborative and iterative work style, making them a good cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and debugging skills, evidenced by fixing locator changes, synchronization issues, and assertion mismatches. Collaboration with developers on defect triage and active participation in Agile ceremonies highlight a team-oriented and adaptable operational fit. The proactive adoption of AI tools indicates a learning mindset and efficiency focus.