Open to opportunities

shadrack mwangi

@shadrackmwangi

A Native Gikuyu speaker with medical domain expertise and skills in translation, annotation, dataset creation and AI training.

Kenya

Message

What I'm looking for

I’m seeking remote roles in medical and general data annotation, Swahili–English-Gikuyu Translation and NLP Dataset creation.

I’m a native Gikuyu language speaker with strong proficiency in English and Swahili, with accuracy in linguistic data for AI training and translation across Gikuyu, English and Swahili languages.

Am also proficient in NER, annotation and transcription tasksto produce reliable language resources.

I have completed sample translation works across major domains affecting everyday lives of Africans.

The works are hosted on Hugging face and Github

Experience

Work history, roles, and key accomplishments

Medical AI & HIPAA Study

Jan 2025 - Jan 2026 (1 year)

Self-directed study for medical NLP and clinical data workflows, mastering ICD-10-CM coding structure, sequencing rules, and specificity/combo-code guidelines while reviewing MIMIC-III dataset tables and ICD coding benchmarks. Completed HIPAA certification covering PHI identifiers, Safe Harbor/Expert Determination de-identification, and ePHI safeguards.

ICD 10 Coding MIMIC III Workflows SQL (MIMIC Queries)Pandas

Swahili-English Translation QA

Swahili–English Translation QA Project

Jan 2026 - Present (9 months)

Post-edited 30 Swahili–English MT sentence pairs across 8 domains and performed MQM-based translation quality assessment. Applied MQM error taxonomy to score segments and produced quality verdicts ranging from 0.08 (Excellent) to 0.78 (Needs Revision), including correlation analysis with BLEU/METEOR/TER against human MQM annotations.

Machine Translation Post Editing MQM Error Taxonomy Translation QA BLEU Meteor Segment

Medical NER Annotation

AI Training Data Project

Jan 2026 - Present (9 months)

Annotated 50 cardiology, oncology, nephrology, neurology, and infectious-disease clinical sentences using a 13-label NER schema in Label Studio. Built annotation guidelines for span boundaries, negation, abbreviations, and edge cases, and improved consistency via self-review and answer-key cross-validation.

BIO IOB2 Tagging JSONL Entity Formatting

RLHF Response Ranking

RLHF Response Ranking Project

Jan 2026 - Present (9 months)

Completed a 20-item RLHF preference ranking test set covering Helpfulness, Harmlessness, Honesty, Instruction Following, and Formatting. Applied HHH-style decision categories with tie-breaking rules and computed Cohen’s Kappa across a 5-annotator simulation (mean kappa 0.82).

Inter Annotator Agreement Cohen'S Kappa Safety Helpfulness Labeling Tie Breaking Rules Annotation Calibration

Education

Degrees, certifications, and relevant coursework

Self-directed research

Self-directed research, Medical NLP & Health Data (HIPAA, ICD-10, MIMIC-III)

2025 - 2026

Activities and societies: Studied NOTEEVENTS, ICD chapters/classification/sequencing, de-identification (Safe Harbor/Expert Determination), and medical NLP landscape.

Completed a self-directed study of ICD-10-CM structure and MIMIC-III clinical workflows, including ICD coding benchmarks and Python/SQL access. Covered HIPAA de-identification safeguards and medical NLP task areas such as clinical NER and de-identification.

AI Annotation Specialist training

Project-based practical training, AI Training Data Annotation (NER, RLHF, Translation QA)

2025 - 2026

Activities and societies: Applied MQM error taxonomy and annotation QA methods; practiced RLHF/RLAIF preference ranking and response comparison.

Completed project-based practical training in AI annotation covering NER, RLHF preference data collection, MQM translation quality assessment, and related inter-annotator agreement practices.