Nithin N.

Key Skills

Software

Other

Top Subject Matter

Emergency medicine clinical QA and diagnostic governance evaluation

Top Data Types

Text

Document

Top Task Types

Evaluation/Rating

Freelancer Overview

GMC-registered Emergency Medicine physician with 8 years of clinical experience, specializing in high-acuity triage, undifferentiated patient assessment, and clinical governance. Holding an MRCEM SBA UK, a Postgraduate Diploma in Medical Education, and Lean Six Sigma Green and Black Belts, I combine deep clinical diagnostic expertise with advanced systems optimization. I am highly adept at evaluating clinical logic, designing rubric-based assessments, and applying Quality Assurance methodologies to detect systemic errors— making me uniquely positioned to evaluate, grade, and refine LLM diagnostic reasoning and clinical safety protocols.

Labeling Experience

General Practitioner in Emergency Medicine (ST-3 Equivalent), Global Medical Solutions - Zayed Military Hospital

Text

Independently executed guideline-based diagnostic logic in high-acuity emergency medicine workflows, which functions as a real-world evaluation framework for AI diagnostic safety and accuracy. Performed supervision, diagnostics sign-offs, and governance teaching that operationalize consistent evaluation standards. Applied quality assurance thinking to detect systemic errors and refine clinical safety protocols relevant to LLM diagnostic reasoning assessment. • Evaluated complex undifferentiated acute emergency presentations using strict clinical logic. • Stabilized patients using time-critical triage protocols and documented clinical reasoning. • Provided governance and diagnostic sign-off training to junior staff. • Used repeatable evaluation procedures to assess safety, precision, and medical-standard adherence of AI systems.

2025 - Present

Medical Educator (Online), Intermednet (Wales, UK)

Text

Designed and facilitated structured, outcome-based clinical teaching sessions aligned to UK NICE guidelines for an international physician audience. Translated complex emergency/clinical reasoning into structured, gradable learning outcomes that map to evaluative rubrics. Used this rubric-based evaluation capability to support AI evaluation and reinforcement learning from human feedback concepts. • Built rubric-based grading materials for scenario-based learning. • Structured learning outcomes suitable for human feedback loops (RLHF). • Conducted interactive expert-led discussions to validate evaluation criteria. • Focused on assessable reasoning steps rather than only final answers.

2023 - Present

Education

Work History