About
QA Engineer with 1.8+ years of experience in manual and automation testing of web, mobile, and AI-powered applications. Experienced in requirement analysis, UAT planning, test case design, functional, regression, end-to-end, performance, and AI/ML model validation. Strong in defect management, stakeholder communication, and ensuring high-quality software releases in Agile environments.
Skills & Expertise (48)
Work Experience
Quality Analyst
moksa.ai
Feb 2025 - Present
Authored and maintained 400+ manual test cases covering functional, regression, and end-to-end scenarios across four user roles for an AI-powered internal web platform, ensuring comprehensive test coverage. Analyzed business and functional requirements, collaborated with cross-functional teams, and defined test scenarios and coverage for new features and enhancements. Executed manual and automated functional, smoke, regression, end-to-end, and UAT test cycles; documented test results and reported defects with detailed reproduction steps, severity, and priority. Developed and maintained Playwright automation scripts using TypeScript for critical user workflows, leveraging Page Object Model (POM), Hybrid, and Data-Driven framework principles to enhance regression coverage and improve release efficiency. Performed REST API testing using Postman and validated payloads, JSON structures, authentication, and HTTP status codes. Conducted performance and load testing using Apache JMeter to evaluate stability, response times, and behavior under concurrent loads. Validated event-driven workflows by verifying Kafka and RabbitMQ message processing, ensuring reliable communication and data consistency across integrated platform services. Monitored QA execution metrics, automation coverage, defect trends, and Grafana logs to support issue analysis, release readiness, and stakeholder reporting. Participated actively in Agile ceremonies and collaborated with cross-functional teams to uphold quality standards and support timely software releases.
Quality Analyst Intern
moksa.ai
Nov 2024 - Feb 2025
Authored 200+ test cases covering the Moksa VMS web and mobile applications, spanning functional, regression, end-to-end, and UAT scenarios. Wrote targeted test cases to validate AI/ML model behavior and evaluated model accuracy using confusion matrix analysis. Assisted in reviewing requirements and creating test scenarios for AI/ML models, video processing workflows, and push notification features. Executed smoke, regression, end-to-end, and UAT cycles; logged technical defects and verified resolutions through structured validation, ensuring detection accuracy and reliability of notifications and dashboard metrics. Collaborated with product managers and developers to clarify requirements, troubleshoot issues, and improve overall product quality.
Education
Bachelor’s Degree - St. Mary’s Group of Institutions
2020 - 2023 · Afghanistan
Certifications
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Skills (48)
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