AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer with 4+ years in Manual, API, and AI-Assisted Testing
Performance-driven QA Professional with 2+ years of experience in manual testing of complex web and mobile applications. Expert at leveraging Large Language Models (LLMs) and Custom Gemini Gems to automate test case generation, improving documentation speed by 30%. Proven track record in identifying critical defects across ERP, NHK, and Infrastructure technology platforms while maintaining high standards for software quality and system integrity. Strong in requirement analysis, test case design, API validation, and defect lifecycle management.
RAMGARHIA INSTITUTE OF ENGINEERING AND TECHNOLOGY
B.Tech · Mechanical Engineering
N/A – June 30, 2013
NESTORBIRD
Associate Test Engineer
September 1, 2023 – October 1, 2025
India
HEYDAY INFRASTRUCTURE ENGINEER
Supervisor
January 1, 2015 – May 1, 2017
India
Jaleel (Infrastructure)
June 14, 2026 – Present
Tested system performance, progress tracking, and resource allocation modules.
ERP Technology
June 14, 2026 – Present
QA for AgriBORA App, Avon (Manufacturing), Flexitude (Website), Jaybee (Manufacturing), Sakshay.
NHK Technology
June 14, 2026 – Present
Tested Mehandi App, Darn App, GingerGarlic App.
MindMedia
June 14, 2026 – Present
Functional and regression testing for media web applications.
Cultural Fit Analysis
The candidate's diverse project experience across different industries (infrastructure, ERP, manufacturing, media) indicates adaptability and a broad understanding of various application types. Their initiative in adopting AI-driven testing methodologies suggests a forward-thinking and continuous learning attitude, which is a positive cultural fit for dynamic environments. The role as 'Supervisor' in a previous non-QA position also hints at leadership and coordination skills.
Soft Skills & Operational Fit
The candidate demonstrates an innovative approach to QA by integrating AI tools, suggesting a proactive and efficiency-driven mindset. Their experience in leading QA activities and supervising projects indicates good organizational and leadership potential. The focus on improving test coverage and defect detection aligns well with operational excellence.