Pengwei Song is a Staff Data Engineer based in Beijing with 11 years building large-scale data, storage and distributed systems for AI and graph workloads. He has delivered production infrastructure across Moonshot AI, NebulaGraph, MEGVII and Tencent—spanning pre-training pipelines, distributed transactions, consensus, PB-scale object stores and a MapReduce-like Python library for heterogeneous computing. Comfortable across storage engines, message queues and traversal/backup systems, he blends low-level systems design with data pipeline engineering to support AI at scale. His work often targets the intersection of performance and operability (e.g., execution plan pushdown, multi-step graph traversal and GC/index subsystems), and he shares technical insights on his Chinese blog.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science and Technology, 15/221, Master's degree, Computer Science and Technology, 15/221 at 北京邮电大学
Contributions:5 reviews, 28 commits, 9 PRs in 11 months
ddiadistributed-systemsdatabasestorage
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.