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QA Automation Engineer with 10+ years in Software Testing & Payments
Highly motivated with 11 years and 7 months of experience with 6.7 years dedicated software testing, gaining experience in manual, automation, functional, and payment systems. Successfully managed testing activities, ensuring on-time project delivery and high-quality releases. Performing various testing methodologies, including SDLC, STLC, Black Box, White Box and Web Based Application Testing, Regression Testing, Smoke, Sanity, Functional, Non-Functional, UAT Testing, SIT testing. Proficient in payment system technologies, including SWIFT, ISO20022. Successfully led and mentored teams of 8-9 members, fostering collaborative and high-performing environments. Worked on projects in Banking Domain like transactional reports, web-based applications testing for banks. Extensive understanding of Core Banking operations, with hands-on knowledge of Savings, Deposits, mobile banking application testing (Customer on- boarding), and end-to-end SWIFT payment flows. Proactively upskilling in AI testing concepts aligned with ISTQB guidelines, focusing on validating AI/ML systems, data quality, and model behavior.
Punjab Technical University
Master's Degree · Computer Applications
August 1, 2011 – June 30, 2013
Mumbai University
BSC · COMPUTER SCIENCE
August 1, 2008 – June 30, 2011
Yethi Consulting Pvt Ltd
Senior QA Analyst
July 1, 2025 – March 1, 2026
Mumbai, Maharashtra, India
Infosys Ltd
Associate Consultant
July 1, 2024 – July 1, 2025
Mumbai, Maharashtra, India
C-Edge Technologies Ltd
System Analyst
April 1, 2014 – December 1, 2023
Mumbai, Maharashtra, India
ISTQB-CTFL4 (Foundation level)
Unknown
June 1, 2026 – Present
ISTQB-AI Testing
Unknown
June 1, 2026 – Present
Diploma in Software Testing – A+
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse project background within the banking sector, working with various financial institutions (AU Small Finance Bank, Qatar National Bank, Bank of India - RRB, SBI-RRB-UCB Banks). This exposure to different client environments and banking products suggests adaptability and a broad understanding of industry-specific challenges. Their continuous effort to upskill, including pursuing AI testing certifications, indicates a proactive and growth-oriented mindset, aligning well with dynamic and evolving technical cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and communication skills, particularly in navigating challenging situations with functional teams and clients. Their experience in leading and mentoring junior QA engineers indicates good team collaboration and leadership potential. The ability to manage defects in Jira and other in-house trackers, along with participation in defect triage meetings, shows strong operational fit for structured QA processes.