Summary
Ziming Wang is a Senior Software Engineer with a decade of experience building high-performance, large-scale data and distributed systems across Microsoft and TikTok, and a M.Eng. in Software Engineering from Carnegie Mellon. He specializes in backend, cloud, and data engineering—designing low-latency recommendation pipelines, HA SQL IaaS management, and real-time analytic processing with Spark/Druid—and has deep expertise in availability groups, replication, and in-memory databases. Practical and team-oriented, he brings strong TDD, pair-programming, and Agile discipline, and is fluent in Java/Scala with production experience in Python, Ruby, JavaScript, Docker, AWS and Heroku. Notably, he has driven measurable reliability and performance gains—e.g., a leader election service that cut response times by 90% and a continuous deployment rollout that slashed deployment time by 80%—and currently contributes to TikTok’s global recommendation infrastructure.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BE), Software Engineering, Bachelor of Engineering (BE), Software Engineering at Jilin University
Master of Engineering (M.Eng.), Software Engineering, Master of Engineering (M.Eng.), Software Engineering at Carnegie Mellon University
Chinese, English