Rakshita Goudadi

I am an AI Data Quality Analyst with 3+ years leading annotation and QA operations for NLP, computer vision, and LLM training support. I design SOPs, run calibration and coaching, and build dashboards that translate data into actionable quality improvements.

At Telus International I led multimedia annotation QA, authored SOPs, produced 50+ root cause analyses, and improved guideline clarity while delivering training that boosted QA scores. At iMerit I annotated text, audio, and image datasets with 98%+ accuracy and authored guidelines that increased team QA pass rates by 80%.

My technical toolkit includes Labelbox, Playment, GT-Studio, CODA, Tableau, Python, SQL, Java, and advanced Excel, which I apply to measure F1, inter-annotator agreement, error trends, and calibration outcomes. I mentor teams, optimize workflows, and partner with cross-functional groups to improve model performance.

I am passionate about ethical AI, bias mitigation, and operational excellence in high-volume environments, and I bring a data-driven, people-centered approach to delivering reliable datasets at scale.