Professional Overview
Detail-oriented Data Annotator with a strong foundation in STEM, particularly Computer Science and Mathematics. Experienced in annotating AI training data, generating educational content, and providing high-quality feedback for model improvement. Adept at handling multimodal datasets, creating multiple-choice questions, and ensuring accuracy in data curation. Passionate about advancing AI through high-quality, human-in-the-loop training processes.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
