Matthew Leung

Machine Learning Engineer at 香港匯豐銀行

Hong Kong, China
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Summary

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Senior
🎓
Top School
Matthew Leung is a Machine Learning Engineer based in Hong Kong with 8 years of experience building and tuning cloud-native, distributed data and ML systems. He has deep cross-domain expertise in performance tuning, root-cause analysis, and capacity planning across databases, Java applications, and distributed frameworks like Spark, Dask, Flink and Kubernetes. At HSBC he led end-to-end performance improvements that cut response times and resolved critical production incidents, and he has recently transitioned into ML-focused roles combining DevOps and model tuning. Matthew spends personal time on machine learning competitions and distributed hyperparameter tuning workflows (e.g., Hyperopt with MongoDB on Kubernetes), and he’s interested in accelerating ML through quantum algorithms for matrix computations. Known for a positive, can-do attitude and strong communication across global teams, he thrives on troubleshooting complex, multi-team problems under pressure.
code8 years of coding experience
job6 years of employment as a software developer
bookThe Chinese University of Hong Kong (CUHK)
languagesEnglish
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Github Skills (32)

telegram-bot6
multiclass-classification5
kucoin5
machine-learning5
trading5
python5
cryptocurrency4
machine-learning-models4
backtesting-trading-strategies4
deep-learning4
binance3
flutter-plugin3
crypto3
tensorflow3
macos3

Programming languages (7)

JuliaShellC++RustJavaScriptPythonKotlin

Github contributions (5)

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Contributions:884 commits, 2042 pushes, 2 branches in 1 year 2 months
Contributions:122 pushes, 5 branches in 3 months
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Matthew Leung - Machine Learning Engineer at 香港匯豐銀行