Yi Wang is a Senior Platform Engineer with 12 years of experience building high-throughput, production-grade data systems across ads RTB, DMP, DSP/SSP and airline tech domains. Currently at RTL he architects and implements an extended Kubernetes-based data platform that automates batch and streaming pipelines, exploration, validation, provenance, lineage and data quality. Proficient in Java, Kotlin, Go and big-data tools like Spark, Flink and NiFi, he has led system architecture and performance work at Kambr and Yieldr to make platforms faster, more scalable and maintainable. A Leiden-based engineer with a cum laude master's and a reflective open-source mindset (GitHub: csimplestring), he blends hands-on coding with principled system design to deliver observable, production-ready data infrastructure.
12 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Cum Laude, Master's degree, Computer Science, Cum Laude at Leiden University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing Language and Culture University
A fast boolean expression index implementation, especially for RTB ad selection. A Go implementation of the core algorithm in paper <Indexing Boolean Expression>
Contributions:127 commits, 4 PRs, 19 pushes in 10 months
Contributions:5 commits, 2 PRs, 5 pushes in 2 years 4 months
golangcsvauto-detectdelimiterdetect
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