Summary
Matthew Aylward is an AI engineer based in Zurich with nine years of experience building production-grade systems in Rust and Python, focused on Large Language Models, generative AI, and data engineering. He combines enterprise-grade data pipeline and ETL expertise from roles at KPMG and ANSTO with hands-on agent and full-stack AI workflow development at Dreamleap. His academic background — an MSc in Software Systems from the University of Zurich with a minor in Banking & Finance — underpins a practical interest in generative AI for education, reflected in his personal project Fruit.cards. Matthew has delivered automation and compliance tooling in financial services and real-time scientific pipelines, showing a talent for translating regulated, high-integrity requirements into robust software. Comfortable across backend microservices, streaming platforms, and front-end integrations, he brings a pragmatic, security- and observability-minded approach to AI productization. Outside work he mixes Vue.js front-end polish with a crustacean-level enthusiasm for Rust, signaling both breadth and a curiosity-driven engineering style.
9 years of coding experience
7 years of employment as a software developer
Master of Informatics (Software Systems), Banking and Financial Support Services, Master of Informatics (Software Systems), Banking and Financial Support Services at University of Zurich
Corowa High School
Bachelor of Computer Science (Professional) with a major in Software Development, Bachelor of Computer Science (Professional) with a major in Software Development at Swinburne University of Technology
Certificate 4, Civil Construction and design, Certificate 4, Civil Construction and design at Leeton Riverina Tafe