Mao Yancan

Software Engineer at ByteDance

Singapore
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Summary

👤
Senior
🎓
Top School
Mao Yancan is a software engineer and distributed systems researcher with nine years of experience specializing in cloud-native streaming and large-scale resource scheduling. He holds an ongoing PhD in Computer Science from NUS and has bridged academia and industry through roles at NUS, SUTD, ByteDance, and Baidu, contributing to papers on state migration, transactional stream processing, and cloud-native streaming layers. Currently at ByteDance working on AI infrastructure and Ray scalability, he focuses on observability, stability, and improving scheduler performance for massive workloads. His prior work includes building an automated runtime for tens of thousands of Flink jobs that boosted CPU utilization and cut operational costs—evidence of a pragmatic approach to research-driven production systems. Based in Singapore, Mao combines deep systems research with hands-on engineering to make distributed streaming systems more elastic, operable, and efficient.
code9 years of coding experience
job1 year of employment as a software developer
bookBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at University of Electronic Science and Technology of China
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at National University of Singapore
languagesChinese, English
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Github Skills (28)

pytorch10
parallel10
rllib10
python10
data-science10
machine-learning10
large-language-models10
hardware10
reinforcement-learning10
llm-inference10
llm10
hyperparameter-optimization10
deep-learning10
tensorflow10
ai10

Programming languages (6)

JavaShellC++CJavaScriptPython

Github contributions (5)

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yancanmao/samza-testbed

Sep 2019 - Apr 2021

Contributions:7 PRs, 101 pushes, 4 branches in 1 year 6 months
workloadstestingtestbedrunnablesamza
Contributions:103 pushes, 4 branches in 9 years
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