Professional Overview
I design, build, and operate LLM inference and serving infrastructure (vLLM, Rust/PyO3, GPU), deterministic agent-simulation environments, and large-scale evaluation and red-team tooling. Most of it I ship solo and run in production, including ROGUE, a self-improving open-web LLM red-team.
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.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
