Steven Tang
Research Assistant at University of Massachusetts Amherst
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSteven Tang is a PhD candidate and operating systems researcher at UMass Amherst with nine years of software engineering experience focused on ML systems and performance profiling. He has translated research into production-facing tools—proposing Trace Assistant at Adobe and developing MLInsight and Scaler during internships at ByteDance, with open-source and publication outcomes. His work centers on ML system and memory profiling, combining low-level C++ systems expertise with practical ML deployment concerns. Known for turning research prototypes into usable tooling, he thrives on collaborating with strong teams and iterating toward impactful, deployable solutions.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD (Direct track) Computer Engineering, Doctor of Philosophy - PhD (Direct track) Computer Engineering at University of Massachusetts AmherstBachelor of Engineering - BE Computer Science and Technology, Bachelor of Engineering - BE Computer Science and Technology at Shanghai University of Engineering Science
English, Chinese
Github Skills (200)
ubuntu10
to-do10
chat10
edtech10
spotify10
pdf-annotation10
disqus10
pdf-viewer10
file-sharing10
snapcraft10
neural-network10
sandstorm10
json10
diaspora10
tumblr10
Programming languages (20)
Github contributions (5)
XtTechGroup/Uptime
Dec 2022 - Jan 2023
Contributions:336 pushes, 2 branches, 49 comments in 26 days
GammaPi/SUES-S2C-Tool
Sep 2019 - Oct 2019
Contributions:4 releases, 31 commits, 28 pushes in 1 month
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