Summary
Shichao Nie is a Senior Machine Learning Platform Engineer with 10 years of experience building large-scale distributed systems and production ML infrastructure, currently at ByteDance in Hangzhou. He helped design leaderless high-availability RocketMQ architecture at Alibaba Cloud and has deep hands-on expertise running cloud-native, multi-cloud DevOps and observability stacks. As a founding engineer of AutoMQ he open-sourced a next-gen Kafka-on-S3 with features like self-balancing, cost-aware S3 GC, sparse S3 indexing and multi-tier rate throttling, demonstrating both systems design and practical cost/scale optimizations. His background blends research from Carnegie Mellon with performance-first engineering (JDBC/JNI and Spark optimizations), showing a knack for squeezing latency, cost, and resource skew out of complex distributed workloads.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Central China Normal University
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
English, Chinese