Claims management web app at Foyer (Luxembourg insurance): full processing of a case file brought down to 4 business hours. Scala/Angular, microservices CQRS/Event Sourcing.
Long-term engagement at Foyer, Luxembourg's leading insurance group, via H2H Services. Contributed to the development of two strategic applications for the Belgian market in a microservices architecture, with a focus on quality and clean code.
My role: fullstack developer.
Replacement of a legacy system with a modern application enabling the Belgian-market claim handlers manage their case files. Automation of repetitive tasks, full case tracking, integration with external sector-specific services.
Active contribution across every module: technical and functional analysis, API integration, producing and consuming events via Kafka, release and follow-up.
Technical challenges: performance and scalability on large volumes, from-scratch development with a 90%+ coverage requirement, integration with legacy external services.
Impact: significant reduction in case processing time, 4 business hours for the full processing of a case file.
Platform allowing brokers to create DAB or Auto claims for their clients, with automatic generation of an attachment and creation of a pre-filled case file in the claims management application.
Major contribution across the whole project, from the technical foundation to the latest features. Led the Angular 15 to 17 migration (Signals, standalone components, replacement of the translation library with native i18n).
Technical challenges: screens that adapt to the case type (DAB/Auto), multilingual support (FR/NL), Angular 15 to 17 migration with Signals and standalone components.
Impact: 3 minutes to file an auto claim, 100+ active brokers with steady growth.
Consumption of Kafka events with filtering then transformation to a legacy sector-specific format (no JSON, no REST), generation and sending of attachments.
Technical challenges: integration with a legacy service without JSON or REST, significant autonomy under time constraints.
Team participation and win at the internal Foyer Hackathon 2023 with an AI chatbot and automatic classification project. First exploration of applied AI in an insurance business context.