Steven Kang is a software engineer based in New York with eight years of experience building resilient backend systems at scale. He has moved through roles at Google and Amazon into technical positions at high-growth companies like Verkada and now Pinterest, consistently focusing on data pipelines, automation, and cloud-native infrastructure. Proficient in Java, Python, AWS, Terraform, and orchestration tools like Airflow, he delivers pragmatic solutions for translation infra, ads support, and data platforms. Steven's approach—"build, break and build again"—reflects a hands-on, iterative engineering style that prioritizes reliability and continuous improvement. He brings an attitude of chasing excellence to both day-to-day shipping and long-running platform work, often blending scripting and infrastructure-as-code to automate repeatable operations. A University of Toronto CS graduate, he pairs strong academic fundamentals with production-hardened experience across large-scale consumer and enterprise systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Toronto
A django application for dictation and review English words for Chinese
Contributions:1672 commits, 2 PRs, 1842 pushes in 4 years 4 months
chinesepythondjangoenglish-wordsreview
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