Sharath Nair

I’m a Data Labeling Strategist with 5+ years across the Machine Learning data lifecycle, specializing in Surgical Video Annotation and high-precision entity tagging. I bridge raw data collection and model-ready ground truth, keeping data integrity front and center.

I’ve led teams of 8+ members to deliver 99% data accuracy for complex medical ML models. I create annotation manuals and rule-sets for new surgical procedures, onboard and train 10+ team members on complex workflows, and run automated validation scripts to correct labeling errors 40% faster than manual review.

Previously, as a QA Automation Engineer (Consultant), I built Selenium-based automation frameworks in Java for data validation, designed modular Page Object Model (POM) suites to reduce manual validation time by 50%, and integrated automated execution via Jenkins CI/CD. Earlier, as a Data Analyst, I extracted and structured unstructured web data into client-ready formats in an Agile environment while maintaining strict quality control.