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QA Engineer with 4+ years in Manual, API, & AI-assisted Test Automation for Fintech & Stock Trading.
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 Engineer with 4+ years of experience in manual testing, API testing, and AI-assisted test automation across web and mobile platforms (Android & iOS). Proven track record in fintech and stock trading domains with expertise in SDLC/STLC, Agile methodologies, and defect lifecycle management. Proficient in leveraging AI tools (ChatGPT, Copilot) to generate test cases, optimize test coverage, and accelerate QA processes. Adept at JIRA, Postman, and TestLink, with a strong focus on delivering reliable, high-quality software.
JIET, Jodhpur
B.Tech · Electronics & Communication Engineering
N/A – June 30, 2021
Now A Wave IT Company
QA Engineer
May 1, 2025 – Present
India
CS Tech
QA Engineer
May 1, 2024 – April 1, 2025
India
Anand Rathi IT Pvt. Ltd.
Associate Tester
December 1, 2021 – April 1, 2024
India
StockeZee - Stock Tracking & Portfolio Website
June 13, 2026 – Present
Performed API response verification, onboarding workflow validation, and portfolio feature testing using Postman. Identified and tracked critical defects in market data rendering and user authentication flows.
Nifty Trader – Stock Trading Platform (Web & Mobile)
June 13, 2026 – Present
Tested real-time stock charts, order flow, trade execution, and UI components across web, Android, and iOS platforms. Validated critical trading workflows including buy/sell order placement, watchlist management, and portfolio tracking. Used AI tools to rapidly generate edge-case test scenarios for complex financial data flows.
Cultural Fit Analysis
The candidate's experience across multiple companies (Now A Wave IT Company, CS Tech, Anand Rathi IT Pvt. Ltd.) and diverse projects within the fintech domain suggests adaptability and a broad understanding of different operational contexts. Their proactive use of AI tools for test optimization indicates an innovative mindset. The consistent focus on quality improvement and collaboration in Agile settings points to a good cultural fit for dynamic, results-oriented teams. The projects are well-aligned with the target QA Engineer role, showcasing relevant domain expertise.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, participation in ceremonies, and use of tools like JIRA and TestLink for defect management and reporting. Their stated core strengths of being detail-oriented, a fast learner, and a team collaborator align well with the demands of a senior QA role. The use of AI tools for test scenario generation indicates an adaptable and proactive approach to improving QA processes.