Nanhe Gujral

I work at the intersection of data labeling, data operations, and AI quality systems, helping enterprises scale machine learning workflows without sacrificing accuracy.

My focus is on human-in-the-loop validation, annotation quality control, and production-grade data pipelines across computer vision and language models.

I write about why AI systems fail in production — not because of models, but because of data quality, annotation drift, and operational gaps at scale.