Hi, I'm Gilchrist Ekuke
I'm an AI evaluator and trilingual language/data professional based in the United States. I specialise in assessing LLM outputs for accuracy, reasoning quality, and guideline adherence — bringing a rare combination of linguistic depth and structured analytical precision to every evaluation.
Speaking French, Lingala, and English natively allows me to evaluate AI models across languages and cultural contexts that most evaluators can't reach. That edge, combined with hands-on experience in Python, SQL, and data pipelines, makes my work uniquely thorough.
Gilchrist Ekuke
AI Evaluator · Trilingual Professional
What I Do
AI & LLM Evaluation
Experienced in RLHF, assessing LLM outputs for accuracy, reasoning quality, and consistency. Consistently receiving high evaluation scores.
Trilingual Linguist
Native French and Lingala speaker with C2/ILR 5 English. Expert in translation, interpretation, and cross-cultural communication.
Data Analysis
Python and SQL for data validation, ETL pipelines, and quantitative analysis. Building structured datasets with high metadata integrity.
My Journey
My path started with language — growing up trilingual in French, Lingala, and eventually English gave me an instinctive sensitivity to meaning, tone, and context that most people never develop. That sensitivity became a professional asset.
I've applied it at Mercor and Handshake AI evaluating LLM outputs, at the U.S. Department of Health & Human Services interpreting sensitive medical communications, and at Wepyk Inc. building data pipelines and analysis workflows.
Whether I'm fact-checking model outputs against rubrics, interpreting French in a government healthcare setting, or writing SQL queries to reconcile datasets — precision and consistency are non-negotiable for me.
RLHF Expert
Consistently high evaluation scores assessing AI model outputs at Mercor and Handshake AI
Trilingual
Native French & Lingala · English C2/ILR 5 · Expert in syntax, semantics, and cultural context
Structured Analyst
Fine-grained qualitative judgments using rubric-based scoring and fact-checking methodologies
Data Professional
Python, SQL, ETL pipelines, and Tableau for high-fidelity data validation and analysis