Professional Overview
I specialize in AI data training, data annotation, quality assurance, and Large Language Model (LLM) evaluation. My experience includes reviewing AI-generated responses for accuracy, relevance, instruction-following, clarity, and consistency; applying annotation guidelines; identifying errors; and maintaining high-quality standards across data projects. I am skilled at evaluating model outputs, following structured rubrics, documenting findings, and supporting quality control through careful review and calibration. I also have familiarity with SQL, data modeling, experimentation, and data science documentation. I learn new tools quickly, work independently in remote environments, and bring strong analytical thinking, attention to detail, and a commitment to producing reliable, well-structured data that improves AI system performance.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
