Udhaya Kumar

Key Skills

Software

Label Studio

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Top Label Types

Entity Ner Classification

Freelancer Overview

I am an experienced AI Data Annotation Specialist with over 4 years of hands-on expertise in NLP, LLM training, and healthcare AI projects. My work has focused on leading annotation teams, managing quality metrics, and ensuring high-accuracy datasets for clinical coding and medical data domains, including SNOMED CT, ICD-10, and RxNorm. I have successfully delivered projects involving Named Entity Recognition (NER), text classification, prompt evaluation, and AI-generated response validation, consistently achieving 95%+ accuracy standards. My skills include developing annotation guidelines, conducting quality audits, performing error analysis, and mentoring teams to close performance gaps. I am passionate about optimizing data quality and compliance, and I thrive in roles that require both technical expertise and leadership in AI training data environments.

Labeling Experience

Quality Lead – NLP & AI Data Annotation

Label StudioTextEntity Ner Classification

Led clinical data annotation and medical coding projects with a focus on Named Entity Recognition (NER), text classification, and document validation in the healthcare domain. Designed and monitored quality metrics, performed audits, and acted as an SME for AI-driven annotation initiatives. Conducted prompt evaluation, sentiment analysis, and LLM response validation for large-scale projects. • Annotated structured and unstructured healthcare data aligned with SNOMED CT and ICD-10 standards. • Implemented quality control systems, reducing errors and optimizing annotation performance. • Led team training sessions and managed feedback loops for continuous improvement. • Oversaw pilot onboarding, client deliverables, and maintained 95%+ accuracy benchmarks.

Led clinical data annotation and medical coding projects with a focus on Named Entity Recognition (NER), text classification, and document validation in the healthcare domain. Designed and monitored quality metrics, performed audits, and acted as an SME for AI-driven annotation initiatives. Conducted prompt evaluation, sentiment analysis, and LLM response validation for large-scale projects. • Annotated structured and unstructured healthcare data aligned with SNOMED CT and ICD-10 standards. • Implemented quality control systems, reducing errors and optimizing annotation performance. • Led team training sessions and managed feedback loops for continuous improvement. • Oversaw pilot onboarding, client deliverables, and maintained 95%+ accuracy benchmarks.

2021

Education

Work History