Professional Overview
I’m a senior product, data and AI systems leader with more than 20 years of experience turning complex business and technology problems into practical products and platforms. In recent years, I’ve focused heavily on AI and agentic systems, including the design of governed analytical systems that combine LLM reasoning with deterministic execution.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Lead product and technical architecture for enterprise AI decision systems.
- Design LLM, ontology, data-access, validation and observability architecture.
- Define system boundaries, data flows and governance control points.
- Review reliability, scalability, complexity and delivery-speed trade-offs.
Key Achievements / KPIs
- Designed an inspectable, governed architecture for LLM-driven investigations.
- Enabled deterministic validation of key operations and intermediate outputs.
- Supports complex analytical investigations spanning dozens of steps.
Education
Field of Study: SW engineering
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.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.