Professional Overview
Detail-oriented and technically adaptable professional with a background in computer applications, prompt engineering, and AI-assisted digital workflows. Experienced in managing independent projects, reviewing digital content for accuracy, following complex instructions, and maintaining high-quality standards. Strong analytical thinking, problem-solving, and quality assurance skills, with a particular interest in AI data annotation, model response evaluation, prompt analysis, and AI training. Committed to delivering accurate
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
