Ryan Ren
Shanghai, Shanghai, China
Summary
🤩
RockstarRyan Ren is a seasoned software engineer with over 17 years of development experience and a strong computer science foundation, currently based in Shanghai. He has architected large-scale systems for e-commerce, education SaaS, networking cloud services, and enterprise IT, most recently contributing to Cart and Checkout architecture for a major e-commerce platform. Deep expertise across JVM ecosystems (Spring, Vert.x, Akka), Ruby on Rails, Node.js, and modern front-end stacks (React/TypeScript) enables him to span full-stack design and execution. He pairs database design skills—MySQL at scale, ElasticSearch and document stores—with hands-on DevOps experience in Kubernetes, Docker, and CI/CD to deliver stable, performant services. Comfortable in international, cross-functional teams, he has led Agile delivery as a scrum master and driven performance tuning and debugging at the system level. An under-the-radar strength is his long track record across both product and infrastructure domains, allowing him to translate deep platform knowledge into pragmatic, production-ready solutions.
11 years of coding experience
14 years of employment as a software developer
Chinese, English
Github Skills (69)
python10
deep-learning10
model-compression10
ai10
paper10
stock-data10
quantitative-trading10
finance10
user-modeling10
fintech10
nas10
supervised-learning10
real-time-bidding10
survival-analysis10
machine-learning10
Programming languages (7)
Github contributions (5)
rk2900/DRSA
Feb 2018 - Jan 2021
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
Contributions:50 commits, 45 pushes, 1 branch in 3 years
data-analysispythonsurvival-analysisdeep-learningmachine-learning
rk2900/optimal-ctr-bidding
Aug 2016 - Sep 2018
A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Performance in Display Advertising"
Contributions:8 commits, 6 pushes, 1 branch in 2 years 1 month
testing
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.