Professional Overview
Postgraduate with professional experience in AI data evaluation, prompt generation, and quality assurance. Skilled in evaluating AI outputs, following quality guidelines, and maintaining accuracy. Interested in AI evaluation, data quality, analytics, and operations roles, with a focus on Prompt Engineering, SQL, Power BI, and data analyst.
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.