Ruxin Shen is a software and data engineer with eight years of experience building production data pipelines, real-time streaming systems, and automation tools across companies like Snap and Chartbeat. Currently pursuing an MS in Data Science at Columbia, Ruxin blends strong algorithmic and statistical training with hands-on work in Python, Scala, and Rust to deliver scalable ETL, analytics, and ML-driven features. Notable projects include redesigning metadata pipelines with Kinesis/Kafka, an automated Stripe payment integration tied into Django/Salesforce/Mixpanel, and prototyping infra with Terraform for Redshift/RDS and CDN/DNS automation. He has driven exploratory NLP and image-analysis efforts during hack weeks and built recommendation and clustering proofs-of-concept using Spark collaborative filtering. Based in Santa Monica but with roots in Berlin and Arizona, Ruxin brings a cross-cultural, product-oriented mindset that pairs data science curiosity with pragmatic engineering.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Chino Hills High School
University of California, San Diego
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia University in the City of New York
Contributions:8 PRs, 61 pushes, 7 branches in 10 months
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