Summary
Chengkai Yang is an experienced data and backend engineer with 9 years of experience building big-data systems across autonomous driving, finance, and banking. He has designed TB-scale data pipelines, trajectory analysis for AVs, and annotation platforms, and improved observability for 100+ streaming jobs by creating dashboards and automated performance testing in CI/CD. Comfortable with Spark, Flink, HBase/Elasticsearch, Neo4j and object storage like MinIO/S3, he has used graph algorithms and real-time log analysis to surface supply-chain insights and detect production issues. Based in Victoria, BC, Chengkai pairs practical, production-focused engineering with a recent academic deepening in applied data science, and often bridges data engineering and DevOps by integrating performance tooling directly into developer workflows.
9 years of coding experience
9 years of employment as a software developer
Master's degree Applied Data Science, Master's degree Applied Data Science at University of Victoria
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Beijing Institute of Technology