Senior QA Enginneer with 4+ years in AI-assisted QA & Automation
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated QA Engineer with 4.5 years of hands-on experience testing enterprise web and mobile applications across industries. Delivered measurable impact: 30% faster test cycles, 55% broader test coverage, and 80+ critical defects blocked from production. Expert in manual testing, automation (Playwright, Katalon Studio), AI-powered QA (ChatGPT, Claude AI, Cursor Agent), and REST API validation. Proven collaborator in Agile (Scrum/Kanban) environments, applying shift-left and risk-based testing strategies to accelerate releases without compromising quality.
Rajasthan College of Engineering for Women
B.Tech · Computer Science
August 1, 2013 – June 30, 2017
SmartDocs Business Solutions
Quality Engineer
December 1, 2021 – Present
India
Mobzway Technologies
Quality Analyst
September 1, 2021 – November 1, 2021
India
Supplier Management Portal (Web & Mobile)
December 1, 2021 – June 1, 2026
Directed QA delivery as Lead - architected the test strategy, led test planning workshops, managed defect triage sessions, and owned release sign-off across 3 simultaneous enterprise client deliveries. Achieved zero production defect escapes by executing comprehensive end-to-end testing of purchase order, invoice, and expense workflows, combined with deep SAP ERP/S/4HANA integration validation. Certified application quality across iOS and Android by testing expense workflows, multi-level approvals, social content features, and gameplay mechanics on 10+ device/OS configurations.
Synapse AI Chatbot (Web)
December 1, 2021 – June 1, 2026
Validated AI model reliability through functional, regression, integration, and API testing — stress-tested NLP response accuracy, conversation state management, and edge-case dialogue flows.
Cultural Fit Analysis
The candidate's experience across diverse enterprise clients (PTC, L&T, Century Casinos) and various project types (AI Chatbot, Supplier Management Portal) indicates adaptability and a broad understanding of different business contexts. Their proactive adoption of AI tools for QA suggests an innovative mindset, which aligns well with forward-thinking teams. The emphasis on collaboration within Agile frameworks and defect management demonstrates a team-oriented approach and commitment to continuous improvement, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership potential, having been elevated to QA Lead and directing QA delivery for multiple enterprise clients. Their experience in Agile ceremonies (sprint planning, standups, retrospectives) indicates good collaboration and operational fit. The ability to optimize processes and integrate AI tools suggests a proactive and innovative approach to problem-solving. The candidate's focus on achieving zero production defects highlights a strong commitment to quality and risk management.