Muxian Wu
Software Engineer at Twitter
Singapore
Summary
🤩
Rockstar🎓
Top SchoolMuxian Wu is a seasoned software engineer with 10 years of experience building backend systems and leading engineering teams across startups and large tech companies, currently at Twitter in Singapore. He brings deep systems and performance expertise—demonstrated by contributions to the high-profile rezolus telemetry project where he implemented BPF-based TCP metrics like SRTT and jitter—to diagnose and optimize kernel-level networking. His background spans founding roles and technical leadership in game and SaaS businesses, where he designed microservice infrastructures, analytics pipelines, and on-prem deployment solutions. Comfortable from low-level systems programming to product-facing backend architecture, he combines pragmatic engineering with a track record of shipping reliable, instrumented services.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Engineering, 4, Bachelor's degree, Computer Engineering, 4 at The University of BirminghamMaster's degree, Digital Communication and Media/Multimedia, 4.7, Master's degree, Digital Communication and Media/Multimedia, 4.7 at Nanyang Technological UniversityBachelor's degree, Computer Science, 85, Bachelor's degree, Computer Science, 85 at Huazhong University of Science and Technology
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
kernel10
ip10
linux10
rust10
packet10
filter10
telemetry10
kernel-mode10
bpf10
tcp10
performance-monitoring9
Programming languages (7)
Github contributions (5)
twitter/rezolus
Aug 2021 - Jan 2022
Systems performance telemetry
Role in this project:
Back-end & Performance Engineer
Back-end & Performance EngineerContributions:21 reviews, 7 commits, 7 PRs in 4 months
Contributions summary:Muxian primarily focused on enhancing the `rezolus` repository, which is dedicated to systems performance telemetry, specifically around TCP. Their contributions include adding new metrics, such as Smoothed Round Trip Time (srtt) and jitter, and counters for connections initiated and accepted. The changes involved implementing BPF (Berkeley Packet Filter) programs to collect and process kernel-level data, demonstrating expertise in systems programming and performance analysis. Additionally, the user improved the reliability by selectively enabling BPF based metrics.
metricsperformancemonitoringtelemetry
WUMUXIAN/aws-slack-bot
Dec 2017 - Jul 2018
Contributions:24 commits, 32 pushes, 1 branch in 7 months
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