Summary
Zequn Fu is a Staff Engineer and team lead with 11 years building resilient distributed systems, streaming pipelines, and data infrastructure for companies from AWS to Amplitude and now MeshyAI. He has hands-on experience shipping backend features for high-scale services—time-series query optimizations and cross-cluster scheduling at AWS Timestream, durability and automated mitigation tooling for Kinesis, and end-to-end data ingestion/export integrations at Amplitude. At MeshyAI he now leads the data infra team training next-generation 3D foundation models, blending ML workloads with production-grade data engineering. Zequn pairs deep systems thinking with pragmatic automation, having driven multi-table query support, proactive shard migration, and tools that cut reaction times by over 70%. Based in Kirkland, WA, he holds an MS in Computer Science from NYU and brings a proven track record of turning complex distributed challenges into reliable, scalable solutions.
11 years of coding experience
10 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at New York University
Bachelor of Engineering Software Engineering, Bachelor of Engineering Software Engineering at Xidian University
English, Chinese