James Wu
Software Engineer at Arista Networks
United States
Summary
🤩
Rockstar🎓
Top SchoolJiayu Wu is a software engineer with 10 years of experience who blends systems-level thinking with front-end polish, currently building networking software at Arista Networks. A Texas A&M Computer Science graduate (3.92 GPA), Jiayu has delivered productivity-focused solutions—from migrating a data-heavy healthcare site to a React SPA and automating PDF generation for 100+ staff to implementing a trie-based autocomplete that noticeably sped up searches. Past internships and roles include building oil-and-gas applications and teaching C++ and algorithms to large undergraduate cohorts, giving him both industry and mentoring chops. He emphasizes efficiency in code and life, pairing performance optimizations (35% UI render improvement) with a habit of creating helpful tooling and content outside of work. Based in the United States, he’s equally comfortable tackling networking problems and improving user-facing workflows, and he enjoys discussing sports, nutrition, and content creation.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.92, Bachelor of Science - BS, Computer Science, 3.92 at Texas A&M UniversityHigh School Diploma, High School Diploma at The Village School
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
pytorch10
convolutional-neural-networks10
generative-adversarial-network10
deep-learning10
paper10
compression10
neural-architecture-search10
kmeans9
nas9
tensorflow9
mex8
generalization7
image-manipulation6
evolutionary-algorithms6
matlab6
Programming languages (3)
Github contributions (5)
VITA-Group/DeblurGANv2
Aug 2019 - Jul 2022
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Contributions:21 commits, 4 PRs, 19 pushes in 2 years 11 months
pytorchiccviccv-2019deep-learningdeblurring
VITA-Group/WeakNAS
Feb 2021 - Sep 2022
[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan
Contributions:60 commits, 45 pushes, 2 comments in 1 year 7 months
naspytorchneural-architecture-searchnasbenchnas-bench-101
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