QA Automation Engineer with 7+ years in Manual, API, Mobile, and AI-Driven Automation Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior QA Engineer with 6+ years of experience in Manual, API, Mobile, and Integration Testing across Healthcare, Asset Management, E-commerce and Gaming domains. Strong expertise in end-to-end testing, requirement analysis, and defect lifecycle management. Recently expanded into Playwright automation using JavaScript with Al-assisted tools like ChatGPT, Cursor and GitHub Copilot. Proven ability to improve release quality and lead QA teams in Agile environments.
Advanto Software, Pune
Software Testing Training · Manual & Automation Basics
February 1, 2019 – July 1, 2019
Visvesvaraya Technological University (VTU)
Bachelor of Engineering · Electronics & Communication
August 1, 2014 – June 30, 2018
Webkorps Services India Pvt. Ltd.
Senior QA Engineer / QA Lead
October 1, 2021 – Present
Pune, Maharashtra, India
GameCloud Technologies Pvt. Ltd.
QA Engineer
September 1, 2019 – October 1, 2021
Pune, Maharashtra, India
Airth.io (Mining & Logistics Management Platform)
June 9, 2026 – Present
Led QA activities from scratch including test strategy, planning, and execution for an end-to-end mining management application. Built and maintained regression test suite and automation suite. Defined QA processes and established team structure, workflows, and best practices. Provided sprint-wise testing strategy and task planning, ensuring timely and high-quality releases. Collaborated closely with Product team and contributed to requirement discussions, user story creation, and workflow design. Suggested product improvements and usability enhancements across planning, operations, and logistics modules. Worked closely with stakeholders in a product-focused (shadow Product Manager) role, supporting planning and execution. Mentored QA team and ensured adherence to quality standards.
Cryoport (Healthcare + Supply Chain)
June 9, 2026 – Present
Conducted exploratory and functional testing. Coordinated with development teams for defect resolution.
Bhai-Bandhu (E-commerce Platform)
June 9, 2026 – Present
Performed E2E, system, and integration testing. Managed defect lifecycle and QA sign-off activities.
Manjushree (Mobile App – iOS & Android)
June 9, 2026 – Present
Performed mobile manual testing including UI, regression, and compatibility testing. Validated application behavior across devices, OS versions, and screen sizes. Conducted release testing and ensured production stability.
Asset Panda Pro (Web + Mobile)
June 9, 2026 – Present
Performed end-to-end manual testing including Functional, Regression and Non-Functional testing. Created and executed detailed test cases across multiple environments. Collaborated closely with Product team on requirement analysis and user story creation based on client requirements. Involved in requirement understanding, test case design and review, execution and team coordination. Performed API testing and validated backend integrations. Automated critical regression scenarios using Playwright (JavaScript). Leveraged AI tools (ChatGPT, Cursor, GitHub Copilot) to convert manual test cases into automation scripts.
Cultural Fit Analysis
The candidate's experience across diverse industries (mining/logistics, healthcare, e-commerce, mobile, asset management) and their involvement in defining QA processes and mentoring teams suggest adaptability and a proactive approach to team and process development. Their engagement with product teams and stakeholders indicates a collaborative and product-focused mindset. The introduction of AI-driven practices shows an openness to new technologies and continuous learning, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring skills, having led QA activities from scratch, defined processes, and mentored teams. Their collaboration with Product teams and stakeholders indicates good communication and cross-functional teamwork. The ability to introduce AI-driven practices and optimize testing efforts suggests a proactive and innovative mindset, which aligns well with operational efficiency and continuous improvement in an Agile environment.