About
Detail-oriented Manual QA Engineer with 2.5+ years of hands-on experience in functional testing, regression testing, system testing, and UAT across enterprise and AI-powered applications. Proficient in test planning, test case design, defect lifecycle management, and cross-browser/cross-platform testing. Strong background in REST API testing using Postman, exploratory testing, root cause analysis, and test metrics reporting. Experienced with Agile/Scrum methodologies, JIRA for bug tracking, and collaborating with developers and business stakeholders to ensure product quality. Adept at testing AI/LLM-based systems, RAG pipelines, and observability solutions.
Skills & Expertise (61)
Work Experience
Manual QA Engineer / SDET
KLOC Technologies Pvt Ltd (Client: NVIDIA)
Aug 2023 - Present
Designed and executed comprehensive test cases, test scenarios, and test scripts for web applications, backend APIs, and AI-powered modules across multiple NVIDIA projects. Performed functional testing, regression testing, smoke testing, sanity testing, and end-to-end system testing for each sprint release. Developed and maintained Requirements Traceability Matrix (RTM) to ensure complete coverage of functional and non-functional requirements. Applied test design techniques including Equivalence Partitioning, Boundary Value Analysis, and Decision Table Testing to maximize defect detection with minimum test cases. Conducted exploratory and ad-hoc testing sessions to identify edge cases and usability issues not covered in formal test plans. Executed cross-browser and cross-platform compatibility testing across Chrome, Firefox, Edge, and Safari on Windows and Linux environments. Performed manual REST API testing using Postman — validated endpoints for correct status codes, response payloads, headers, authentication, and error handling. Verified API contracts against Swagger/OpenAPI documentation and identified discrepancies between spec and actual behavior. Conducted integration testing for frontend-to-backend data flows, validating data persistence, transformation, and consistency across system layers. Executed database validation using SQL queries to verify data integrity, correct record insertion/update/deletion, and backend logic accuracy. Manually tested AI model outputs for accuracy, relevance, hallucination, bias, tone, and response quality in production-grade LLM applications. Validated RAG (Retrieval-Augmented Generation) pipelines by testing context retrieval accuracy, document grounding, and response traceability. Conducted prompt testing — designed and executed diverse prompt variations to identify model failures, edge cases, and guardrail violations. Verified observability dashboards in Grafana and Prometheus to confirm system health metrics, alert thresholds, and anomaly detection accuracy. Logged, tracked, and managed 100+ defects in JIRA with clear reproduction steps, expected vs. actual results, severity/priority classification, and supporting screenshots. Conducted defect triage sessions with developers and business analysts to validate root causes and assess impact on release scope. Generated detailed test summary reports, defect trend analysis, and test metrics dashboards for stakeholders and release governance. Participated in Agile ceremonies — sprint planning, daily standups, sprint reviews, and retrospectives — contributing QA status updates and risk assessments.
Education
Bachelor of Engineering – Electronics & Communication - GM University, Davangere
2015 - 2019 · Afghanistan
PUC (PCMB) - Sindhi PU College, Bengaluru
2015 - 2017 · Afghanistan
Certifications
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Skills (61)
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