About
Quality Assurance Engineer and AI/ML Data Annotation Specialist with 6 years of total experience, including 2+ years in Manual QA Testing and 4+ years in AI/ML Data Annotation and Model Evaluation. Experienced in test planning, regression testing, UAT testing, defect management, and validating web-based and AI-integrated applications. Strong expertise in LLM testing, prompt validation, NLP data annotation, and machine learning data quality evaluation. Proficient with tools such as JIRA, TestRail, SageMaker Ground Truth, and Label Studio to ensure accurate testing and high-quality annotation outputs. Proven ability to collaborate with data science, product, and engineering teams to improve product quality, data accuracy, and AI model reliability.
Skills & Expertise (24)
Work Experience
AI Data Annotation Specialist
TELUS International AI | Remo Tasks | ZenfitX
Present - Present
Delivered image annotation, object detection labeling, and metadata extraction for computer vision projects. Performed bounding box annotation, video frame labeling, and attribute extraction from large datasets. Validated machine learning outputs and ensured data accuracy according to project guidelines. Evaluated product listings and extracted structured attributes for AI training datasets.
ML Data Associate I / Digital Associate
Amazon, India
Jun 2020 - Oct 2022
Performed manual QA testing for Kindle devices and applications, ensuring UI functionality and feature stability across multiple versions. Designed and executed test cases and test plans, supporting product quality for device and application releases. Logged and tracked defects using JIRA, working with development teams to resolve issues efficiently. Conducted 2D and 3D data annotation, image labeling, and audio transcription to support machine learning models. Evaluated and validated annotated data to ensure accuracy, consistency, and compliance with annotation guidelines. Supported ML workflows by validating model predictions, intent classification, and NLP data quality.
Senior Engineer – QA & AI Data Annotation
Emergence AI (formerly Merlyn Mind)
Dec 2022 - Present
Designed and executed test plans, test scenarios, and test cases for AI-powered applications across domains such as Listings, Reviews, and Segmentation Copilot. Performed functional testing, regression testing, and UAT testing to validate system functionality and ensure product quality. Validated AI agent behavior by testing custom prompts, user queries, and LLM responses to ensure accuracy and consistency. Logged and tracked defects using JIRA, collaborating with development and data science teams to resolve issues efficiently. Conducted AI model evaluation and prompt benchmarking, improving model accuracy and reliability metrics. Annotated conversational datasets including intent classification, sentiment tagging, entity recognition, and slot labeling.
Education
Bachelor of Engineering (Computer Science Engineering) - Builders Engineering College, Kangayam
- · Afghanistan
Certifications
Certified Data Annotation Professional
GIPCA · 2024
Secure Software: Testing and Acceptance
ALISON · 2024
Manual Testing, SQL and Java Basics
QSpiders · 2023
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