Emilia Morgan

About Emilia Morgan

I’m a backend software engineer and data scientist passionate about solving complex…

Experience

1. Software Engineer i

   WEX

   Mar 2025 — Present

   At WEX, I contributed to the development of an AI‑powered claims tool designed to transform the handling of Flexible Spending Account (FSA) reimbursements. Our work tackled long-standing inefficiencies, namely, the typical two‑business‑day lag between document submission and feedback by delivering real-time insights and automation. The result? Claim approvals in under two minutes with over 97% precision in reimbursement calculations.Technically, the solution is anchored by our AI Application Platform, built with modern, modular microservices. Key features include:OCR + LLM‑based verification: Fully automated extraction and validation of expense details (type, date, amount) to assess document completeness and eligibility.Microservices via OpenAPI and Kubernetes: Streamlined development using clear API contracts, scalable containerized deployments, and interchangeable LLM backends like GPT‑4 or Claude.Real‑time feedback loop: Users receive instant indications if a document is invalid while valid submissions seamlessly move forward to adjudication in minutes.This AI‑driven initiative not only cut processing times dramatically but also eased administrative burdens and enhanced user confidence—ushering in a more modern, efficient workflow for both HR teams and end user.Read more about the project here:https://medium.com/@wextechblogs/creating-an-ai-powered-claims-tool-to-simplify-fsa-reimbursements-0e1a2129e086

Education

• Harvey Mudd College

  Physics

• The Institute of Advanced Study - Princeton

  Mathematics: Number Theory

• University of Massachusetts Boston Honors College

  Bachelor of Science - BS, Minor in Computer Science, Mathematics