At KPN, I designed and implemented scalable, fault-tolerant event-driven services using Kafka, built to handle high-availability and high data loads. Developed microservices in Go and Rust, deploying them with Docker and Nix to support modern microservice architectures. In addition to backend engineering, I built robust data platform tooling and CLI utilities that streamlined department workflows, service deployment, and enhanced encryption and PKI management processes.

At DDI, I engineered AI-driven systems for smart document processing, integrating machine learning with reliable, scalable backend architectures. Implemented custom NLP models and OCR pipelines to extract structured data from complex insurance documents, including low-quality PDFs. Designed and deployed secure APIs and data workflows using CI/CD, automated testing, and containerized infrastructure. Contributed to ML research and enforced data privacy through automated depersonalization tooling.

At De Ree Holland, I analyzed and visualized performance and financial data of high-revenue companies, leveraging Python and close collaboration with account managers. Processed large datasets from documentation and interviews, transforming unstructured inputs into actionable insights. Conducted statistical research to evaluate and apply effective analytical methods. Delivered findings through structured reports and presentations, while also developing data strategies to support key business decisions.