Yawen Wang
Software Engineer at Google
United States
Summary
👤
Senior🎓
Top SchoolYawen Wang is a software engineer and fifth-year PhD candidate in electrical engineering at Stanford University with a decade of software experience focused on improving cloud platform efficiency using machine learning. Currently at Google, she brings deep research-to-production experience from multiple Microsoft Research internships where she applied reinforcement learning and online learning to optimize CPU power, scheduling, and VM usage for real cloud workloads. Her background combines rigorous academic training (Cornell BS; Stanford MS/PhD) with hands-on systems engineering, enabling her to design ML-driven resource-management systems that operate at scale. Notably, she has repeatedly translated novel learning algorithms into practical cloud optimizations, showing a knack for closing the loop between experimental results and deployable system improvements.
10 years of coding experience
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Cornell UniversityMaster's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Stanford University
Github Skills (14)
backend10
code-server10
reflex8
avatar8
flash7
habits6
css5
frontend3
machine-learning3
vowpal-wabbit2
ranger1
apache1
conversations1
java1
Programming languages (4)
Github contributions (5)
wyawen/lambdasort
Feb 2018 - Sep 2018
Contributions:42 pushes, 1 branch in 6 months
yw374cornell/e-mission-server
Jun 2016 - Sep 2016
The backend (server) code for the e-mission server
Contributions:31 pushes, 9 branches in 3 months
code-serverbackendbackend-server
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