Professional Overview
I build AI agents and RAG applications and evaluate AI-generated code. I use Python, TypeScript, OpenAI and Claude APIs, Docker, and pytest. At Handshake AI, I created a benchmark for inventory control under uncertain demand, including a reference solution and automated tests. It made model evaluation repeatable and helped identify incorrect solutions and attempts to exploit scoring rules.
Experience
Employment Type
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
