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Diana Gakii

@dianagakii

AI & Data Operations specialist focused on data annotation, model QA, and document intelligence.

Kenya
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What I'm looking for

I seek remote or hybrid roles where I can apply data annotation, document AI, and model QA skills, collaborate with engineers, and grow in GenAI/model evaluation.

I am an AI & Data Operations specialist with practical experience supporting machine learning and document intelligence projects for global companies including Meta and OpenAI. I focus on data annotation, transcription, and NLP-based quality assurance to improve model accuracy and contextual understanding.

My work includes annotating and structuring multilingual datasets, reviewing layout-based AI outputs, and evaluating LLM-generated responses for clarity and factual precision. I collaborate with ML engineers to optimize text normalization, data pipelines, and retrieval-augmented generation (RAG) evaluation.

I bring strong Python skills (Pandas, NumPy, SpaCy) and hands-on familiarity with LayoutLM, Donut, DocFormer, OCR tools, and labeling platforms. I document annotation guidelines, automate QA processes, and prioritize detail-oriented, research-driven approaches to building reliable AI systems.

Experience

Work history, roles, and key accomplishments

Meta logoME

AI Data Specialist

Meta

Jan 2024 - Dec 2025 (1 year 11 months)

Annotated and structured multilingual datasets for speech and document AI training, improving OCR accuracy and contextual labeling quality and collaborated with ML engineers to optimize text normalization and pipeline consistency.

OpenAI logoOP

Language Data Reviewer

Feb 2025 - Jul 2025 (5 months)

Evaluated and edited AI-generated responses for clarity and factual precision and contributed to RAG system QA by comparing human-written and model outputs to improve document-based reasoning.

Education

Degrees, certifications, and relevant coursework

Kenyatta University logoKU

Kenyatta University

Bachelor of Science, Dry Land Agriculture and Enterprise Development

Pursuing a Bachelor of Science in Dry Land Agriculture and Enterprise Development with expected completion in 2025, focusing on agriculture and enterprise development concepts applicable to dryland contexts.

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