Steve Yang
Software Engineer at Splunk
Cupertino, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSteve Yang is a Software Engineer with 13 years of experience based in Cupertino, California, currently building observability at Splunk. He brings deep systems and performance expertise—demonstrated by significant contributions to NanoLog, a nanosecond-scale C++ logging system where he implemented thread-local staging buffers, memory management improvements, and rigorous CPU-cycle benchmarking. His background includes internships at AWS and Adobe and research experience at Stanford Medicine, reflecting a blend of production engineering and scientific rigor. A Swarthmore CS graduate who has also served in civic youth advisory roles, he combines high-performance backend skills with a collaborative, community-minded approach to problem solving.
13 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Swarthmore CollegeMonta Vista High School
Github Skills (17)
benchmark10
c-language10
performance-monitor10
performance-analytics10
low-latency10
memory-management10
benchmarking10
performance-measurement10
latency10
performance-analysis10
performance-tuning10
logging10
performance-monitoring10
high-performance10
cprogramming-language10
Programming languages (2)
Github contributions (5)
PlatformLab/NanoLog
Aug 2016 - Dec 2020
Nanolog is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API.
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:1 release, 142 commits, 10 PRs in 4 years 4 months
Contributions summary:Steve significantly contributed to the optimization and refinement of the NanoLog logging system. Their work involved the development of a thread-local staging buffer, memory management, and improved compression of log messages. Furthermore, the user implemented various performance benchmarks, including snprintf tests and measures related to CPU cycle counting. The primary goal was to enhance NanoLog's speed, efficiency, and overall performance.
apicpploggerlogginglogging-library
syang0/NanoLogCompression
Jan 2018 - Jun 2019
Contributions:5 pushes, 1 branch in 1 year 5 months
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