Shyaam Prasadh

I lead the Enterprise AI Engineering function at Entain (FTSE 100), with responsibility across the UK & Ireland, Latin America, Central Europe, and Asia Pacific regions. I architect and deploy large-scale AI, machine learning, and agentic systems for one of the world's largest sports betting, gaming, and interactive entertainment organisations. Reporting to the Global Head of AI and senior executive leadership, I lead globally distributed teams of Principal Data Scientists and ML Engineers, delivering production-grade AI capabilities at enterprise scale.

I currently lead development of Prometheus (Entain's enterprise GenAI platform), EntainGPT (a suite of LLM-powered services) — both empower 25K employees. AgenticOps for autonomous incident management, self-evolving AI agents for trading and data science workflows, reduction of false positives in fraud analytics systems (BVerified), and gaming personalisation using Transformer-based models. These projects process large volumes of real-time data and automate complex decision workflows, generating multi-million GBP commercial impact.

Previously, at Trexquant Investments ($4B AUM) I developed ML-driven statistical arbitrage signals that generated alphas and outperformed benchmarks in live trading environments. As a Founding AI Engineer at Veer, I built agentic AI systems for trading diagnostics in complex trading environments. At Elan Capital Management, I developed GenAI-driven models for yield curve analysis, applying machine learning to extract structure and signals from fixed income data. At Ford Motor Company, I led the development of production-grade, interpretable risk models managing multi-million-dollar exposure.

I hold a PhD in Computational Finance (IIT Madras), an MSc in Machine Learning with Distinction (UCL) supported by a Google DeepMind Fellowship. I also contribute to multi-agent research at UCL Computer Science.