Owen Cheung / AI engineering & data science
AI Engineer at LexisNexis Risk Solutions, building human-governed workflows for fraud-model optimisation. Final-year Computer Science & AI student at the University of Bath.
Making complex ideas
work in the real world.
01 / Selected work
Making fraud-model workflows recoverable and reviewable.
A self-initiated agentic prototype, developed into a funded internal pilot with human review built in.
Initiated a working agentic prototype during my placement, then stayed on as a contractor to develop the funded internal pilot.
Practice that adapts to the way you type.
A typing application in development, with implemented adaptive AI drills and real-time analytics being developed.
Designing and building a React/Node.js typing application, including implemented AI-driven adaptive drills.
Nutrition tracking, built by eight.
A micronutrient + wellbeing app built in a team of 8 on a real Scrum cadence; I owned recipe parsing and nutrition analysis.
Implemented recipe parsing and nutrition analysis across Django and Flutter, and helped coordinate sprint planning and stakeholder testing.
Aug 2026 — present · Contract
LexisNexis Risk Solutions
Human-governed fraud-model optimisation workflows; funded internal pilot building toward production.
Jul 2025 — Aug 2026 · Industrial placement
LexisNexis Risk Solutions
Transaction analysis, two fraud-model optimisations, self-supervised representation learning and an agentic working demo.