Open to opportunities

shradha sutar

@shradhasutar

Message

I evaluate computer vision and vision-language model data to improve AI training quality and model accuracy.

India

Message

What I'm looking for

I'm looking to contribute to Computer Vision and Vision-Language Model projects where I can improve annotation workflows, validate AI outputs, strengthen dataset quality, and support reliable model performance.

I've evaluated 10,000+ retail surveillance clips and 5,000+ AI model outputs for Storewide Active Intelligence, supporting Sainsbury's loss prevention and self-checkout monitoring. I identify false positives, false negatives, and edge cases, review AI-generated captions and ground truth, and audit bounding boxes for production-ready datasets.

I've led annotation-quality activities for around 20 AI data evaluators and worked directly with a CTO to improve VLM annotation workflows. My experience spans traffic surveillance, video captioning, object detection, dataset QA, and image classification using Python and TensorFlow.

Experience

Work history, roles, and key accomplishments

AI Data Evaluator (Computer Vision & VLM)

Storewide Active Intelligence (SAI)

Jul 2025 - Jun 2026 (11 months)

Led VLM team activities by guiding approximately 20 AI data evaluators, ensuring annotation quality and consistency. Partnered directly with the CTO to optimize annotation workflows and evaluated 10,000+ retail surveillance video clips for the Sainsbury's Loss Prevention project.

AI Data Evaluation Computer Vision Team Leadership CVAT Labelbox Superannotate Python

Data Labelling

Stellarview Private Limited

Jul 2024 - Apr 2025 (9 months)

Annotated traffic surveillance images and videos for helmet detection, rider detection, and traffic violation AI models. Labeled motorcycles with single, double, and triple riders while validating helmet compliance according to project guidelines.

Image Annotation Video Annotation Object Detection Computer Vision CVAT Labelbox Superannotate Quality Assurance

AI Data Annotator

Qualitas Global

Nov 2023 - Jul 2024 (8 months)

Created detailed video captions describing people, clothing, objects, actions, and surrounding environments for AI training datasets. Annotated and reviewed video datasets to ensure consistency, accuracy, and compliance with annotation guidelines.

Video Annotation Data Annotation Quality Assurance Computer Vision Python

Academic Internship

MIT College, Pune

Jul 2022 - Sep 2022 (2 months)

Completed a hands-on internship in Machine Learning and Computer Vision. Built image classification models using CNN and VGG16, and performed data preprocessing, model training, and evaluation using Python and TensorFlow.