QA Automation Engineer with 5+ years in Manual, Automation, and API Testing.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated QA Engineer with 5.2 years of experience in Manual, Automation, and API Testing, including hands-on testing of AI/ML-driven applications. Experienced in validating ML-based outputs, data accuracy, and model-driven workflows in GIS and property measurement systems. Seeking a QA role to ensure quality, reliability, and fairness of AI-powered products.
CCS University, Meerut
Graduation · English
N/A – Present
U.P. Board
Intermediate
N/A – May 31, 2014
U.P. Board
High School
N/A – May 31, 2012
4Achievers Institute
Manual Testing Certification · Software Testing
N/A – Present
BTEUP, Lucknow
Diploma · Civil Engineering
N/A – Present
Welocalize
Manual QA Engineer
February 1, 2021 – Present
India
QGIS Plugin for Carto-Works
February 1, 2021 – Present
Functional testing of a QGIS plugin focused on landscape measurement automation. Tested batch import, shape rendering (turf, hard/soft edges, tree buffers), and external property data integration. Validated plugin functionalities across multiple data input sets and map scales. Applied Python knowledge to understand and validate geospatial plugin behavior and data workflows.
Automated Property Measurement Application (GIS Domain - Australia)
February 1, 2021 – Present
Tested web-based automatic property measurement solutions using high-resolution aerial imagery. Executed test cases for property search, drawing tools, automated measurements, and result downloads. Verified UI responsiveness, input validations, and feature integrity across multiple devices. Reported and tracked bugs in JIRA; collaborated with developers and product managers in Agile sprints. Used JavaScript and Python scripts for test data prep, API scripting, and automation helper utilities.
Cultural Fit Analysis
The candidate's experience is primarily within the QA domain, with a clear focus on manual, automation, and API testing. The projects demonstrate an ability to work on specialized domains (GIS) and with AI/ML-driven applications, indicating adaptability and a willingness to tackle complex challenges. The breadth of skills, including multiple testing types and tools, suggests a versatile individual. However, the lack of diverse project types outside of GIS and property measurement might indicate a narrower exposure, though the depth within this domain is strong.
Soft Skills & Operational Fit
The candidate's project descriptions indicate collaboration with developers and product managers in Agile sprints, suggesting good teamwork and communication skills within an operational context. The focus on defect tracking and reporting also points to a structured and detail-oriented approach to quality assurance.