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Software QA Engineer with 6+ years in Manual, API & AI-assisted 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
Results-driven QA Test Engineer with 5+ years of experience in manual software testing across web, mobile, and enterprise applications. Proven expertise in functional, regression, integration, UAT, and API testing within Agile/Scrum environments. Strong collaborator who bridges development and business teams to consistently ship defect-free releases on schedule. Actively leveraging AI tools including ChatGPT, Claude AI, and Agentic AI workflows to enhance test coverage and accelerate quality processes.
Unknown University, Bangalore
Bachelor of Computer Applications (BCA) · Computer Applications
August 1, 2015 – June 30, 2018
VeARC Technology
Software QA Engineer
November 1, 2024 – Present
Bengaluru, Karnataka, India
Deloitte
Software QA Engineer
December 1, 2023 – September 1, 2024
Bengaluru, Karnataka, India
Apsis Technologies
Software QA Engineer
April 1, 2020 – December 1, 2023
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate's experience across diverse domains (Surety Bonds, HR Onboarding, Construction Material Testing, Field Inspection) and project types (web applications, Windows applications, operational workflow platforms) suggests adaptability to different business contexts. Their proactive use of AI tools and recognition for quick learning (Rising Star Award) indicates a growth mindset. The candidate's involvement in mentoring and representing the team in stakeholder meetings shows a collaborative and leadership-oriented approach, which generally aligns well with a positive cultural fit. However, the lack of explicit project diversity beyond QA roles limits a higher cultural fit score.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working effectively with development teams, product owners, and clients. Their experience in leading triage calls, assigning tasks, and mentoring junior team members indicates leadership potential and good team integration. The proactive adoption of AI tools for efficiency suggests an innovative and adaptable mindset. The candidate's focus on customer satisfaction through production support aligns well with operational excellence.