# LexisNexis — Applied AI Internal pilot · toward production · Jul 2025 — present Role: AI Engineer (Agentic AI) · previously Data Scientist Stack: Python, SQLite, DVC, Papermill, LightGBM, Snowflake, PyTorch During my placement I built a working demo for fraud-model optimisation\. I was retained as an AI engineering contractor to develop the capital-funded internal pilot toward production\. ## Context Fraud-model optimisation combines analysis, modelling and decisions that need accountable human review\. ## My contribution Initiated a working agentic prototype during my placement, then stayed on as a contractor to develop the funded internal pilot\. ## Approach - Custom Python orchestration and reusable Copilot skills coordinate work with persistent SQLite state\. - Audit trails and mandatory review gates keep human judgement in the workflow\. - DVC and Papermill make notebook-based work recoverable; LightGBM discovers candidate rules, with constrained logistic regression for policy weighting\. ## Highlights - Custom Python orchestration, reusable Copilot skills, persistent SQLite state, audit trails and mandatory human review gates\. - Recoverable DVC/Papermill workflows with LightGBM candidate-rule discovery and constrained logistic-regression policy weighting\. - Placement work included two fraud-model optimisations and analysis of billions of transaction records using Python, SQL and Snowflake\. - Researched self-supervised fraud representations using graph embeddings, contrastive learning and non-Euclidean geometry\. ## Evidence - Working demo delivered to the AI engineering team by the end of the placement\. - Retained as an AI engineering contractor in August 2026 to develop a capital-funded internal pilot\. - Two fraud-model optimisations completed during the earlier placement\. ## Limitations - Employer-confidential work: no source code, transaction data or internal evaluation results are published\. - This describes a pilot building toward production, not a launched production platform\. - Descriptions are owner-supplied; no independently verified performance uplift is claimed\. Source: Owner-supplied professional and project descriptions; earlier non-conflicting portfolio material retained\. Not independent verification\.