Summary
Liam Pearson is a Data Scientist based in Sydney with 8 years of experience turning complex data into actionable business outcomes across public and private sectors. He has led whole-of-government AI initiatives, integrating LLMs to automate consultation workflows and deliver faster, scalable insights for non-technical policy teams. At commercial firms like Atlassian, Zip and Genworth he built production ML pipelines, deployed neural networks that saved millions, and implemented monitoring and automation that materially reduced manual effort and churn. Liam combines strong SQL/Python/Databricks engineering with product-minded analytics—shipping dashboards, interactive maps and “chat-to-your-data” experiences that empower stakeholders. He’s comfortable bridging policy and engineering, having partnered with diverse agencies to translate data challenges into tailored, deployable solutions. Notably, his work on end-to-end AWS ML pipelines was recognized on the AWS Machine Learning Blog, reflecting a blend of R&D rigor and production impact.
8 years of coding experience
7 years of employment as a software developer
Master of Data Science, Master of Data Science at Macquarie University