Summary
Zachary Gou is a software engineer based in Boston with nine years of experience building ML-driven systems, cloud-native infrastructure, and developer platforms. He currently works on connectors and infrastructure at Qlik and previously reduced GKE costs by 32% through a dynamic Kubernetes node-scaling algorithm while interning at Boston University’s Software & Application Innovation Lab. His background blends applied machine learning research—improving graph classification via topological features and pruning LLMs—with practical engineering work like migrating backends to GraphQL, optimizing Docker builds, and improving segmentation models. Zachary is comfortable across the stack, from Kubernetes and Pub/Sub-driven async inference to TypeScript frontends and Spring Boot APIs, and he brings a research-minded approach to production problems. Notably, he has translated advanced math (persistent diagrams and homological features) into tangible accuracy gains and runtime improvements in real projects.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at Boston University