Yin Z
Software Engineer at Google
California, United States
Summary
👤
Senior🎓
Top SchoolYin Z is a software engineer based in California with 8 years of experience bridging engineering, data and product design. Currently at Google after prior roles at Lime and contributions to high-profile open-source projects like TensorFlow (profiling, performance and graph visualization), she focuses on performance engineering and data-driven tooling. Trained across transportation engineering and advanced analytics (UIUC MS), she blends quantitative rigor with a designer’s appreciation for human-centered products. Notable for improving developer UX in complex systems and for building processes and tools that saved time and increased engagement, she enjoys connecting technical systems with real-world impact and creative expression.
8 years of coding experience
3 years of employment as a software developer
Cultural & Academical Exchange Student, Civil Engineering, 94.22/100, Cultural & Academical Exchange Student, Civil Engineering, 94.22/100 at Feng Chia UniversityMaster of Engineering (M.E.), Transportation planning and management, Master of Engineering (M.E.), Transportation planning and management at Southeast UniversityUniversity of Illinois Urbana-Champaign
Chinese, English
Github Skills (16)
tensorflow10
performance-optimization10
graph-visualization10
operation10
profiling10
hla10
python9
linear-algebra9
xla9
deep-learning8
c-language8
deeplearning-ai8
machine-learning8
cprogramming-language8
deep-neural-networks7
Programming languages (5)
Github contributions (5)
tensorflow/tensorflow
Sep 2022 - Dec 2022
An Open Source Machine Learning Framework for Everyone
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:9 commits, 1 PR, 6 comments in 3 months
Contributions summary:Yin primarily contributed to the profiling and optimization of the TensorFlow framework. Their work involved modifying code related to the profiler, including implementing new stats, adjusting time calculations, and improving the accuracy of the op profile. Furthermore, they worked on enhancing the graph viewer by increasing zoom factors and displaying error messages, enhancing the user experience. This included modifications to facilitate the visualization of HLO graphs and refining data for roofline analysis.
pythondata-sciencedeep-learningmlmachine-learning
zzzaries/WebProgramming
Jan 2019 - Jun 2019
Practice for CS498
Contributions:20 pushes, 1 branch in 4 months
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