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QA Automation Engineer with 2+ years in automation and manual 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
Detail-oriented QA professional with hands-on experience in end-to-end manual testing across complex client implementations, including workflow-based and API-driven systems. Strong understanding of enterprise risk management platforms, integrations, and deployment validation processes. Recently transitioned into Python automation (Selenium, Pytest) to enhance regression efficiency and improve test coverage. Passionate about combining domain expertise with automation to deliver high-quality software releases.
JMIT, Kurukshetra University
B.Tech · Computer Science Engineering
August 1, 2019 – June 30, 2019
Invisible Technologies
Process Analyst
June 1, 2024 – January 1, 2025
United States
Certa.ai
QA Engineer
May 1, 2022 – May 1, 2024
United States
Cultural Fit Analysis
The candidate has experience in both a QA Engineer role at Certa.ai and a Process Analyst role at Invisible Technologies, indicating adaptability across different company types and roles. Their work on enterprise risk management platforms and API-driven systems suggests a comfort with complex, structured environments. The recent move into Python automation aligns with a growth mindset, which is generally positive for cultural fit in dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach to QA, with a focus on standardizing processes and minimizing post-release defects. Their experience in collaborating with cross-functional teams (developers, product managers, implementation teams) indicates good operational fit. The transition to Python automation shows initiative and adaptability.