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QA Engineer with 3+ years in Manual & API Testing.
To secure a challenging role as a Manual Test Engineer, leveraging 3.1 years of experience in testing methodologies to ensure software quality, deliver defect-free applications, and contribute to organizational growth. • 3.1 years of hands-on experience in Manual Testing including Sanity, Functional, Integration, and Regression Testing. • Strong understanding of SDLC & STLC, with knowledge of SDLC Models, Test Levels, Test Types, and Test Design Techniques. • Skilled in all phases of the Software Testing Process: Test Planning, Test Design, Test Execution, and Test Closure. • Proficient in generating Test Scenarios, writing Test Cases, preparing Test Data, executing Test Batches, and analyzing results. • Knowledge of Defect Reporting, Defect Tracking, and the complete Defect Life Cycle. • Experienced in API Testing with Postman. • Worked on Document Search functionality and contributed as a Prompt Engineer. • Familiar with QUIXY PMS Tool for defect tracking and reporting. • Strong focus on performing Regression Testing on existing features to ensure consistent quality.
KIIT University
B.Tech · Electrical Engineering
August 1, 2017 – June 30, 2021
Santra K L High School
Intermediate & Matriculation
N/A – Present
SEANERGY.AI
QA Engineer
January 1, 2026 – Present
Hyderābād, Telangana, India
VIVDMINDS Technologies Pvt. Ltd
Test Engineer
April 1, 2023 – January 1, 2026
Hyderābād, Telangana, India
Cultural Fit Analysis
The candidate has experience across different projects (AI Voice Agent, No-code platform, Warehouse, DMS, Document Search) which suggests adaptability to diverse project environments. The career objective aligns with a challenging QA role, indicating a desire to contribute to organizational growth. The experience in two companies (VIVDMINDS Technologies and SEANERGY.AI) shows some stability and progression in the QA field. The educational background in Electrical Engineering, while not directly in software, combined with professional experience in QA, indicates a capacity for cross-disciplinary learning and application.
Soft Skills & Operational Fit
The candidate lists 'Hard working', 'Self-confident', 'Adaptable to changes', and 'Quick learner' as strengths. These indicate a positive attitude towards work and learning, which are beneficial for operational fit. However, without specific examples or behavioral assessments, the depth of these soft skills cannot be fully evaluated.