Vernon Mumba

Vernon Mumba is a Medical Doctor (MBChB) with hands-on experience in data annotation and data entry, bringing a rare combination of clinical domain expertise and rigorous, detail-oriented data work. As a data annotator at Yenda, he applied attention to detail to label and evaluate data with precision, understanding nuance and context that general annotators often miss — a skill set well-suited to healthcare AI, medical NLP, and clinical decision-support projects. His clinical background includes patient assessment, diagnosis, interpretation of laboratory results, and use of electronic medical record systems (SmartCare), giving him a strong grasp of structured and unstructured medical data. He also has experience in research, data analysis, and medical report writing, plus a tutoring role in Medical Physiology that reflects his ability to break down complex concepts clearly — a valuable trait for writing annotation guidelines, evaluating model outputs, or training data labellers. Detail-oriented, adaptable, and driven by continuous learning, Vernon is looking for AI training and data annotation roles — particularly in healthcare, life sciences, or technical/medical domains — where his subject-matter expertise can directly improve data quality and model performance.