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Surya Thamburu

Surya Thamburu

Medical AI RLHF and Data Labeling Specialist

India flagGIBRALTAR, India
$50.00/hrEntry LevelScale AI

Key Skills

Software

Scale AIScale AI

Top Subject Matter

Healthcare Data & Medical Documentation
Medicine Domain Expertise
Medical AI

Top Data Types

TextText

Top Task Types

RLHFRLHF
Text SummarizationText Summarization

Freelancer Overview

I am a fully GMC-registered medical practitioner with six years of extensive clinical experience across acute and internal medicine settings. To effectively transition my frontline medical expertise into the medical Artificial Intelligence sector, I have completed a targeted suite of technical courses to understand how to train and align medical language models. These technical qualifications include Reinforcement Learning from Human Feedback (RLHF) and Red Teaming LLMs by DeepLearning.AI, Generative AI training by Google, as well as specialized AI and Machine Learning for Healthcare courses from Stanford University. In addition to my clinical work and technical training, I have a strong, practical background in clinical governance and data validation. I have successfully completed several high-impact clinical audits, which include reviewing the reasons for paediatric referral refusals to implement a new automatic age-warning system, and evaluating antibiotic dosing for UTI patients to ensure strict adherence to local prescribing guidelines. This combination of hands-on medical practice, advanced AI coursework, and rigorous clinical auditing experience equips me with the exact analytical skills needed to evaluate, grade, and refine complex medical AI training data.

Entry LevelEnglishHindiTamilMalayalam

Labeling Experience

Medical AI RLHF and Data Labeling Specialist

TextRLHF
I contributed to the training and safety evaluation of healthcare AI models using reinforcement learning from human feedback techniques. My work involved grading, rewriting, and aligning AI-generated medical text to clinical accuracy and clarity. This required applying medical judgement to provide precise, reliable guidance to the AI, especially for healthcare-specific content. • Evaluated and rated the outputs of generative AI models for medical accuracy. • Rewrote and edited AI-generated responses to align with clinical best practices. • Ensured data privacy and confidentiality while handling sensitive patient scenarios. • Collaborated with AI research teams to enhance model safety and robustness.

I contributed to the training and safety evaluation of healthcare AI models using reinforcement learning from human feedback techniques. My work involved grading, rewriting, and aligning AI-generated medical text to clinical accuracy and clarity. This required applying medical judgement to provide precise, reliable guidance to the AI, especially for healthcare-specific content. • Evaluated and rated the outputs of generative AI models for medical accuracy. • Rewrote and edited AI-generated responses to align with clinical best practices. • Ensured data privacy and confidentiality while handling sensitive patient scenarios. • Collaborated with AI research teams to enhance model safety and robustness.

2024 - Present

Education

K

Kerala University of Health Sciences

Bachelor of Medicine, Bachelor of Surgery, Medicine

Bachelor of Medicine, Bachelor of Surgery
2015 - 2021

Work History

B

Bermuda Hospitals Board

Internal Medicine Clinical Fellow

Hamilton
2026 - Present
N

NHS Borders

Psychiatry Clinical Attache Doctor

Melrose
2025 - Present