Professional Overview
With experience deploying machine learning systems at scale, I bring deep technical expertise, clear communication, and a relentlessly pragmatic approach to solving real problems. My PhD in mathematics and 12 years as a data scientist give me a strong command of machine learning theory and practice—from transformer architectures and reinforcement learning to classical methods like Random Forests. I’m skilled at translating complex technical ideas into accessible explanations and at distilling messy, real‑world workflows into automatable components. I’m known for precision, critical thinking, and an ability to quickly identify which paths will deliver value. I mentor and give feedback widely, elevate team productivity, and collaborate across disciplines to drive meaningful, high‑impact products.
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
