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QA Engineer with 4+ years in Automation, API Testing & Agile
QA Engineer with nearly 4 years of experience across Telecom and Insurance domains, leading end-to-end testing (manual & automation), including regression, UAT, API validation, and production testing to ensure high-quality releases across web, mobile, and Salesforce platforms. Delivered measurable impact by automating testing for 10+ applications, reducing manual effort by 80% and execution time by 60%, while ensuring timely defect resolution and improved release quality. Strong expertise in Selenium WebDriver, Core Java, Tosca, API testing (Postman, Swagger), JIRA, Zephyr, with strong understanding of SDLC/STLC and Agile methodologies. Recognized for analytical thinking, effective root cause analysis, and strong stakeholder collaboration, with the capability to manage multiple priorities and deliver under tight deadlines.
Birla Institute of Technology and Science, Pilani
M.Tech. · Software Engineering
August 1, 2023 – June 30, 2025
ATSS College
B.Sc. · Computer Science
N/A – June 30, 2021
Wipro
Sr. Project Engineer
November 1, 2025 – Present
Pune, Maharashtra, India
Wipro
Scholar Trainee (Test Analyst)
May 1, 2022 – October 1, 2025
Pune, Maharashtra, India
Tricentis TOSCA Automation Specialist- Level 1
Tricentis
June 1, 2026 – Present
Tricentis TOSCA- Automation Specialist Level 2
Tricentis
June 1, 2026 – Present
Tricentis TOSCA- Automation Engineer Level 1
Tricentis
June 1, 2026 – Present
Tricentis TOSCA- TDS1
Tricentis
June 1, 2026 – Present
Tricentis TOSCA- TDS2
Tricentis
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across Telecom and Insurance domains, coupled with a focus on continuous improvement and quality delivery, suggests a good cultural fit for organizations prioritizing robust software quality. Their proactive approach to automation and process improvement aligns well with modern development practices. The numerous Tricentis TOSCA certifications indicate a commitment to specialized skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, effective root cause analysis, and stakeholder collaboration. Their experience in Agile environments and managing defect lifecycles indicates good operational fit for a dynamic QA team. The ability to manage multiple priorities and deliver under tight deadlines is also a positive indicator.