Yang Gao
Senior Machine Learning Engineer at WooliesX
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolYang Gao is a Senior Machine Learning Engineer with a decade of engineering experience combining performance optimization, platform services, and applied ML. He specializes in constrained optimization and operational decision engines, currently shaping core decision functions at WooliesX and building LLM-based tooling like a runnable Slack chatbot. Yang has a strong track record of dramatic performance wins—redesigning a Ruby promotional rule engine to raise throughput tenfold and boosting CI platform NPS while cutting resource use by 40%. He pairs hands-on systems skills (Kubernetes, Golang, Python, Flink) with SRE experience running data pipelines in production and a Master’s in signal processing. A pragmatic problem-solver, he frequently delivers homegrown tools that accelerate teams (stress testers, test-data UIs, near-real-time pipelines) and contributes to open source, including accepted Google-related work.
10 years of coding experience
15 years of employment as a software developer
Master Signal Processing, Master Signal Processing at Dalian University of Technology
Github Skills (93)
programming-language10
postgresql10
python10
pyspark10
duckdb10
polars10
gorilla10
beego10
expressive10
trino10
middleware10
pandas10
scale10
sql10
golang10
Programming languages (7)
Github contributions (5)
maxshine/Contribute
Apr 2019 - Nov 2020
Contributions:11 commits, 2 PRs, 20 pushes in 1 year 7 months
maxshine/personal-continuous-integrations
Aug 2024 - Apr 2025
A personal gallery lib of various tools for CI
Contributions:14 releases, 74 PRs, 135 pushes in 7 months
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