Harikrishnan Balakrishna

Key Skills

Software

Mercor

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Evaluation Rating

Freelancer Overview

With over 12 years of clinical and healthcare leadership experience as a GMC-registered doctor, I bring a strong foundation in clinical data review, medical content validation, and quality assurance within healthcare and public health domains. My work has involved conducting clinical audits, service evaluations, mortality reviews, and peer review for medical journals, ensuring accuracy, guideline adherence, and patient safety in documentation and workflows. I have supervised multidisciplinary teams, implemented and trained staff on digital health systems (including EMR and telemedicine), and provided structured feedback to improve data quality and regulatory compliance. My background in academic research, clinical governance, and certifications in GDPR, clinical research operations, and AI for clinical researchers enable me to contribute effectively to data labeling, annotation, and AI training data projects—especially those focused on medical data, clinical NLP, and healthcare process optimization. I am passionate about leveraging my expertise to ensure high-quality, reliable datasets that drive innovation in medical AI.

Labeling Experience

Independent Clinical AI Reviewer – Mercor

MercorTextEvaluation Rating

As an independent clinical AI reviewer with Mercor, I validate AI-generated medical content for diagnostic and clinical accuracy. My work focuses on evaluating medical outputs for alignment with guidelines and regulatory standards. I deliver structured feedback on reasoning, safety, and documentation quality. • Assessed AI-created medical cases for accuracy and patient safety. • Conducted in-depth review and evaluation of AI-generated text outputs. • Provided expert clinician feedback to help improve AI performance. • Supported risk mitigation and escalation management in clinical AI workflows.

As an independent clinical AI reviewer with Mercor, I validate AI-generated medical content for diagnostic and clinical accuracy. My work focuses on evaluating medical outputs for alignment with guidelines and regulatory standards. I deliver structured feedback on reasoning, safety, and documentation quality. • Assessed AI-created medical cases for accuracy and patient safety. • Conducted in-depth review and evaluation of AI-generated text outputs. • Provided expert clinician feedback to help improve AI performance. • Supported risk mitigation and escalation management in clinical AI workflows.

2026

Education

Work History