Ange Bruno U.

Key Skills

Software

Don't disclose

Top Subject Matter

Medical AI

clinical medicine

diagnostic reasoning

Top Data Types

Text

Top Task Types

Data Collection

AI Trainer Overview

Medical AI Evaluator / Trainer. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Residency, University of Rwanda (2024) and Bachelor of Medicine (MBBS), Yangtze University (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Medical Case Scenario Evaluator

Don't discloseText

Evaluation of clinical reasoning, differential diagnoses, and evidence-based justifications in medical case scenarios.

Present

Clinical Dataset and Digital Health Workflow Designer

TextData Collection

Structured clinical data extraction and dataset design from non-standardized clinical notes; patient follow-up workflow structuring.

Present

Medical AI Evaluator / Trainer

Don't discloseText

Factuality verification, diagnostic reasoning audits, completeness assessment, clinical error detection and severity grading, hallucination detection, unsafe-advice red teaming, RLHF/SFT rubric scoring, comparative model ranking, evaluator feedback, and machine-readable clinical dataset annotation.

Present

Education

Work History