Ruoxu Ren
Software Engineer (Applied Machine Leaning) at Apple
United States
Summary
👤
Senior🎓
Top SchoolRuoxu Ren is a software engineer specializing in applied machine learning with 11 years of experience building production-ready models across computer vision, NLP, recommendation systems, and time-series anomaly detection. Currently at Apple, he focuses on time-series models for site reliability engineering and anomaly detection, bringing prior experience deploying large-scale graph algorithms and recommendation engines at Shopee and NLP work at Zendesk. His PhD in Electrical and Computer Engineering from NUS underpins a strong foundation in deep learning, traditional image processing, and statistical time-series methods. He has a track record of turning research-grade techniques into operational systems for industrial and aerospace applications, including prognostics and visual defect detection. Collected interdisciplinary training in applied mathematics and economics gives him an uncommon ability to blend rigorous quantitative reasoning with product-minded tradeoffs.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at National University of Singapore
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
data-science7
python7
pytorch7
machine-learning7
deep-learning6
tensorflow6
jax5
keyword1
extraction1
keyword-extraction1
Programming languages (2)
Github contributions (5)
renruoxu/algorithms
Mar 2018 - Dec 2018
Contributions:22 pushes, 1 branch in 9 months
renruoxu/visualization_dashboard
Sep 2016 - Sep 2016
Contributions:2 commits, 1 push, 1 branch in 1 day
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