Radion Bikmukhamedov
Radion Bikmukhamedov is a Machine Learning Engineer in ANNA Money's Financial Crime Prevention unit, specializing in operationalizing fraud detection systems that safeguard millions of monthly transactions and save thousands of hours of manual labour by automating fraud analysts's tasks. Over 6 years, he's architected NLP and ensemble model pipelines using Python's ML stack paired with MLOps tools (MLflow, DVC, KServe, Feast) to automate financial crime detection at scale.
Sessions
This talk explores how leveraging Large Language Models (LLMs) to generate structured customer profile summaries improved both compliance analyst workflows and fraud scoring models at a financial institution. Attendees will learn how embeddings derived from LLM-generated narratives outperformed traditional manual feature engineering and raw text embeddings, offering insights into practical applications of NLP in fraud detection.