Adrian Tan
Senior Data Scientist @Simply Business
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WORK HISTORY
Senior Data Scientist @Simply Business
London, GB
Architected and standardised the organisational GenAI/LLMOps framework, establishing repeatable governance, prompt versioning, and evaluation protocols that accelerated team-wide deployment cycles- Engineered high-performance transformer architectures (PyTorch/Hugging Face) for propensity modeling on non-textual event streams, delivering a step-change in predictive accuracy over traditional ML baselines- Drive development of production-grade GenAI analytics engine for global call center operations, translating unstructured audio/text into actionable strategic insights for Product and Ops leadership
EDUCATION
University of Melbourne
Bachelor of Commerce (Degree with Honours), Majored in Finance and Economics
ABOUT ADRIAN TAN
I build production-grade AI systems that drive measurable commercial ROI. My career has been defined by bridging the gap between cutting-edge research and stable, scalable products—most notably evidenced by winning the 2024 AWS Global GenAI Hackathon (1st out of 3,200+ teams) and architecting an Agentic RAG assistant that was subsequently acquired by a Tier-1 bank. Currently at Simply Business, I am architecting the organisational LLMOps framework, establishing the governance and evaluation protocols required to scale GenAI across a global InsurTech. My technical focus lies in high-performance transformer architectures and multi-agent systems designed for business-critical deployments. I thrive in high-growth environments where precision, model safety, and architectural rigour are paramount. Whether leading multi-disciplinary teams or setting enterprise-wide technical standards, my goal is always the same: delivering AI that works in the real world.
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