Project Nova
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Developed training data for large language models by formulating coding problems that models could not resolve, and subsequently documenting the correct solutions.
Performed daily preference ranking of hundreds of multimodal AI outputs(video, image, video and text) against prompts to evaluate model performance and alignment.
Maintained high accuracy and throughput in large-scale annotation workflows, contributing to reliable training data for AI model fine-tuning.
Developed training data for large language models by formulating coding problems that models could not resolve, and subsequently documenting the correct solutions. Performed daily preference ranking of hundreds of multimodal AI outputs(video, image, video and text) against prompts to evaluate model performance and alignment. Maintained high accuracy and throughput in large-scale annotation workflows, contributing to reliable training data for AI model fine-tuning.
2025 - 2025