Developed a full-stack distributed accounting recon system (Kotlin, Quarkus, Angular, PostgreSQL) from design to deployment at scale in the cloud (GKE) that allows clients to easily compare and flag any variances between data on our system and their external accounting systems.

Built a robust event-driven service tasked with generating and executing data requests on behalf of clients to allow them access to time sensitive data critical for daily trading decisions. From design to production in under 3 months.

Lead the design and implementation of the UI/UX layer of a new client facing tool utilizing Angular and TypeScript. Allowing users to apply system-wide overrides to their accounting data and even import/export the overrides in bulk via CSV file.

Designed and prototyped a data aggregator utilizing Kotlin and MongoDB to convert bitemporal data to relational data at time of request that now sits at the core of our data intake system.