Vijendra Kumar Yadav

Specialized in Generative AI training and multimodal annotation, achieving high accuracy in evaluating LLM prompt-response pairs and correcting mathematics and LaTeX pairs.

Trained and evaluated AI systems on mathematical reasoning and multilingual Hindi-language tasks, reviewing outputs for logical accuracy and instruction compliance.

Worked as Frontier Mathematics Expert Reviewer & Editor for advanced mathematical reasoning tasks, performed Shopify taxonomy annotation, and contributed to video collection and validation projects.

Contributed to Hindi AI training projects involving multilingual NLP evaluation and prompt-response assessment, and performed image and text annotation tasks.

Contributed to multimodal AI training projects involving video, image, and audio data collection, and maintained quality standards across remote projects.

Provided detailed step-by-step mathematical solutions across algebra, calculus, probability, and statistics, and produced structured educational explanations.

Delivered mathematics-focused solutions and executed object detection, segmentation, and image labeling tasks for computer vision datasets.

Designed benchmark datasets and problem banks for financial mathematics AI tasks, and evaluated model outputs for numerical accuracy and reasoning consistency.