Results-driven Monitoring, Evaluation, Accountability, Research, and Learning (MEARL) Specialist with 6+ years of proven success in designing robust M&E systems, driving evidence-based programming, and strengthening data systems across humanitarian, health, and development sectors.
AI Data Trainer and Model Evaluator with 3+ years of experience improving large language model performance through high-quality annotation, prompt evaluation, and RLHF workflows. Skilled in NLP, data quality assurance, and ethical AI development. Adept at using Python and annotation platforms to create reliable, bias-aware datasets. Data Specialist with proven experience in evaluating large language models (LLMs), annotating complex datasets, and improving machine learning performance. Skilled in natural language processing (NLP), data labeling, prompt evaluation, and model assessment. Demonstrated success in enhancing data accuracy, AI fairness, and output reliability for top-tier clients. Adept at working in fast-paced, remote environments with global AI development teams.
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