Summary
Jacqueline Zhang is a Senior Machine Learning Systems Engineer with a decade of experience building backend and ML infrastructure at Atlassian, focused on improving Confluence search, Rovo AI features, and production-grade ML services. A UC Berkeley CS graduate, she has led feature initiatives from bookmarks and spelling-correction recommendations to Smart Q&A and AI Definitions, applying PySpark, LLMs, prompt engineering, and scalable backend architecture to meet compliance and reliability needs. She combines hands-on backend engineering (Java Spring Boot, Python) with ML systems design, improving observability, alerting, and operational runbooks to reduce noise and incidents. An active contributor to OpenTelemetry JS integrations, she has practical experience instrumenting Hapi.js apps for distributed tracing, reflecting a strong interest in robust observability. Based in Mountain View, she thrives on solving hard problems creatively and pushing systems to scale while keeping developer and user experience in mind.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Software Engineering, Bachelor of Software Engineering at Monash University