Professional Overview
Applied AI / RAG engineer with 30 years building production data systems in C#/.NET and SQL Server. I build retrieval that actually works: embedding models and dimensions, chunking strategy, hybrid ranking, reciprocal rank fusion, cross-encoder reranking, and the telemetry that tells you which change moved the needle instead of which one felt cleve
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
