Samuel Ngari

I'm a Clinical NLP Annotation & QA Specialist with over a decade of experience in transcription, medical NER, and structured dataset creation for AI/ML systems. I specialize in building high-accuracy, HIPAA/GDPR-compliant pipelines that support clinical text understanding, emotion-aware speech models, and video object tracking tasks.

My technical skill set includes spaCy, Label Studio, Python, and QA workflows for medical NER, negation detection, section classification, and temporal normalization. I’ve led and published multiple open-source projects including:

• Clinical NER Pipeline – medication/condition/dosage extraction with spaCy + EntityRuler

• Annotation QA Toolkit – machine vs. human evaluation with Precision, Recall & F1

• Clinical Temporal Normalizer – ISO 8601 time expression normalizer from free text

• Audio Emotion & Speaker Annotation – emotion-tagged speech datasets for AI

• Sports Video Annotation & Player Tracking – object tracking datasets for vision models

With 10,000+ hours of transcription, post-editing, and annotation delivered, I’m driven by precision, trust & safety, and the ethical use of AI. I’m currently open to roles in Clinical NLP, data QA, and AI annotation — both freelance and long-term.