Summary
Peter Yeung is a software engineer with 10 years' experience building full-stack and cloud-native systems, currently contributing at Clover Health from Hong Kong. He has hands-on experience in speech analytics, implementing end-to-end recognition pipelines with Kafka and deploying services via Kubernetes and Helm. With a strong academic background in pure mathematics and an MPhil in environmental science, he brings quantitative rigor and a systems view to problems in AI, deep learning, and numerical weather modelling. Earlier roles include automating business workflows to slash process times by over 90%, showing a knack for practical impact beyond pure code. Comfortable across frontend and backend domains, he combines research collaboration experience with production-grade engineering to deliver scalable, dependable products.
10 years of coding experience
3 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)