Principal Engineer | Machine Learning & AI
Building intelligent systems at the intersection of AI and sports analytics. From predictive models to GenAI applications.
Production ML systems for sports analytics. Computer vision, time series forecasting, end-to-end pipelines.
LLM-powered applications, RAG systems, and AI assistants that transform how teams analyze insights.
Shot quality models, win probability, tactical analysis - turning every rally into actionable intelligence.
Real-time analytics during professional tennis matches. Work at Stats Perform and Tennis Australia powering insights for Grand Slams and ATP/WTA tours.
Key Contributions: Live win probability • Shot quality models • Counter-factual analysis • Player profiling
Building next-gen AI-powered sports applications. Automated commentary, intelligent query interfaces, making complex analytics accessible.
Focus Areas: RAG systems • Automated insights • Natural language interfaces • Multi-modal AI
Interested in AI, ML, sports analytics, or tennis? Reach out.
