Professional Overview
AI trainer and software engineer with a background in computer science and machine learning. Experienced in prompt engineering, large language model evaluation, data annotation and Python development. Skilled at analyzing AI outputs, improving model responses, and building reliable software systems. Passionate about advancing artificial intelligence through high-quality training data and evaluation.
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
