Image Annotation for Retail Products
Labeled and categorized 1,000+ product images for an AI model, ensuring high accuracy and consistency using CVAT. Delivered dataset on schedule to support machine learning model development.
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
I am a detail-oriented Physics graduate with hands-on experience in AI systems testing, functional validation, and technical analysis. My background includes designing and executing test plans for AI-assisted systems, identifying data anomalies, and ensuring outputs meet strict quality standards. I am skilled in test case design, defect tracking, and technical documentation, and have experience using tools like AutoCAD and Microsoft Office Suite to support data annotation and reporting. My work has involved collaborating with cross-functional engineering teams to troubleshoot hardware and software issues, document findings, and continuously improve automated workflows. I am passionate about ensuring the accuracy, reliability, and integrity of AI training data and am eager to apply my analytical and problem-solving skills to data labeling and annotation projects across diverse technical domains.
Labeled and categorized 1,000+ product images for an AI model, ensuring high accuracy and consistency using CVAT. Delivered dataset on schedule to support machine learning model development.
Bachelor of Science, Physics with Electronics
AI Systems Tester / Design Engineer
Broadcast Systems Testing Intern