Help & Supportcareers@gravityer.com
QA Engineer with 6+ years in AI-assisted Testing and Playwright
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 6 years of experience in manual and automation testing, specializing in modern UI automation using Playwright in Retail and Banking domain. Recently expanded expertise into AI-assisted testing and LLM-based validation, improving test efficiency and defect detection. Proven expertise in test planning, defect tracking, and delivering high-quality software in Agile environments. Strong experience in Agile environments with a focus on delivering high-quality software.
RGPV Bhopal
Bachelor of Engineering · Computer Science and Engineering
N/A – June 30, 2019
MP Board (Govt. High School)
10th
N/A – May 31, 2013
MP Board (Govt. High School)
12th
N/A – May 31, 2015
Bridgenext India Pvt Ltd
Software Test Engineer
December 1, 2022 – Present
Pune, Maharashtra, India
KPMG Global Services
QA Engineer (Analyst)
February 1, 2020 – December 1, 2022
Bengaluru, Karnataka, India
Next-Gen Digital Banking Platform – UAT & Feature Validation (Alkami)
June 16, 2026 – Present
Performed User Acceptance Testing (UAT) for newly developed banking features across web and mobile platforms, ensuring alignment with business requirements. Designed and executed end-to-end test scenarios covering critical workflows such as fund transfers, account management, and payments using Playwright. Collaborated closely with business analysts, product owners, and stakeholders to validate acceptance criteria and expected outcomes. Automated critical user journeys using Playwright to support faster regression during UAT cycles. Identified, logged, and tracked high-priority defects using JIRA, ensuring timely resolution before production release. Executed regression and sanity testing for each release cycle to verify stability of existing functionalities. Validated API responses using Postman to ensure data integrity between frontend and backend systems. Supported production deployment validation (smoke testing) to ensure successful feature rollout. Improved test coverage by identifying edge cases and real-world user scenarios during UAT phase. Ensured zero critical defects leakage during major feature releases. Utilized AI tools to generate Playwright test scenarios and edge cases, improving test coverage and productivity.
BatchRater (Transportation Insights)
June 16, 2026 – Present
Wrote test cases from scratch and performed functional and API testing. Executed regression and sanity testing for each release cycle to verify stability of existing functionalities. Identified critical defects in transaction workflows.
Generative AI course
IIT Kharagpur in association with TCSion
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different domains (banking, transportation) and their proactive approach to adopting new technologies like AI for testing suggest adaptability and a growth mindset. Their recognition as a 'Top Performer' indicates a strong work ethic and commitment to quality, which are positive indicators for cultural fit. The breadth of skills and methodologies used (Agile, SDLC) shows versatility.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and team collaboration, as evidenced by their project descriptions and participation in Agile sprints. Their ability to translate business requirements into test requirements and collaborate with various stakeholders indicates good operational fit within a QA team. The focus on reducing production defects and improving efficiency aligns with high-performance team goals.