Professional Overview
PhD-trained AI evaluation and reliability engineer with 14+ years in software development and 15+ years teaching engineering/programming. I build LLM evaluation workflows using Python, RAG, OpenAI structured outputs, vector retrieval, rubrics, failure taxonomies, and dashboards to measure groundedness, correctness, and reliability.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
